Computational systems and methods for health services planning and matching

ABSTRACT

Systems and methods are described relating to accepting user input relating to a plurality of health service option selection factors; presenting a plurality of choices for at least one of the health service option selection factors; and presenting at least one outcome output based on a selection of at least one of the plurality of choices for at least one of the health service option selection factors.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is related to and claims the benefit of theearliest available effective filing date(s) from the following listedapplication(s) (the “Related Applications”) (e.g., claims earliestavailable priority dates for other than provisional patent applicationsor claims benefits under 35 USC δ119(e) for provisional patentapplications, for any and all parent, grandparent, great-grandparent,etc. applications of the Related Application(s)).

RELATED APPLICATIONS

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/381,377, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed10 Mar. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/381,680, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed12 Mar. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/587,239, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed2 Oct. 2009 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/587,313, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed5 Oct. 2009 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/589,124, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed16 Oct. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/589,171, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed19 Oct. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/589,639, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed26 Oct. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/589,728, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed27 Oct. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/590,104, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed2 Nov. 2009 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/590,163, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed3 Nov. 2009 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/590,250, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed4 Nov. 2009 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/590,335, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed5 Nov. 2009 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/592,439, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed24 Nov. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/592,541, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed25 Nov. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/592,768, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed2 Dec. 2009 now U.S. Pat. No. 8,095,385 which is currently co-pending,or is an application of which a currently co-pending application isentitled to the benefit of the filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/592,859, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed3 Dec. 2009 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/655,474, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed30 Dec. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/655,580, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K.Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed31 Dec. 2009 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/657,429, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed20 Jan. 2010 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/657,498, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K.Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed21 Jan. 2010 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/657,980, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed29 Jan. 2010 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/658,056, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed1 Feb. 2010 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/658,166, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed3 Feb. 2010 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/658,256, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed4 Feb. 2010 which is currently co-pending, or is an application of whicha currently co-pending application is entitled to the benefit of thefiling date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/660,029, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed18 Feb. 2010 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

For purposes of the USPTO extra-statutory requirements, the presentapplication constitutes a continuation-in-part of U.S. patentapplication Ser. No. 12/660,143, entitled COMPUTATIONAL SYSTEMS ANDMETHODS FOR HEALTH SERVICES PLANNING AND MATCHING, naming Shawn P.Firminger, Jason Garms, Roderick A. Hyde; Edward K. Y. Jung; ChrisDemetrios Karkanias; Eric C. Leuthardt; Royce A. Levien; Richard T.Lord; Robert W. Lord; Mark A. Malamud; John D. Rinaldo, Jr.; Clarence T.Tegreene; Kristin M. Tolle; and Lowell L. Wood, Jr., as inventors, filed19 Feb. 2010 which is currently co-pending, or is an application ofwhich a currently co-pending application is entitled to the benefit ofthe filing date.

The United States Patent Office (USPTO) has published a notice to theeffect that the USPTO's computer programs require that patent applicantsreference both a serial number and indicate whether an application is acontinuation or continuation-in-part. Stephen G. Kunin, Benefit ofPrior-Filed Application, USPTO Official Gazette Mar. 18, 2003, availableat http://www.uspto.gov/web/offices/com/sol/og/2003/week11/patbene.htm.The present Applicant Entity (hereinafter “Applicant”) has providedabove a specific reference to the application(s) from which priority isbeing claimed as recited by statute. Applicant understands that thestatute is unambiguous in its specific reference language and does notrequire either a serial number or any characterization, such as“continuation” or “continuation-in-part,” for claiming priority to U.S.patent applications. Notwithstanding the foregoing, Applicantunderstands that the USPTO's computer programs have certain data entryrequirements, and hence Applicant is designating the present applicationas a continuation-in-part of its parent applications as set forth above,but expressly points out that such designations are not to be construedin any way as any type of commentary and/or admission as to whether ornot the present application contains any new matter in addition to thematter of its parent application(s).

All subject matter of the Related Applications and of any and allparent, grandparent, great-grandparent, etc. applications of the RelatedApplications is incorporated herein by reference to the extent suchsubject matter is not inconsistent herewith.

TECHNICAL FIELD

This description relates to data capture and data handling techniques.

SUMMARY

In one aspect, a method includes but is not limited to accepting userinput relating to a plurality of health service option selectionfactors, presenting a plurality of choices for at least one of thehealth service option selection factors, and presenting at least oneoutcome output based on a selection of at least one of the plurality ofchoices for at least one of the health service option selection factors.In addition to the foregoing, other apparatus aspects are described inthe claims, drawings, and text forming a part of the present disclosure.

In one or more various aspects, related systems include but are notlimited to circuitry and/or programming for effecting the hereinreferenced method aspects; the circuitry and/or programming can bevirtually any combination of hardware, software, and/or firmwareconfigured to effect the herein referenced method aspects depending uponthe design choices of the system designer.

In one aspect, a system includes but is not limited to means foraccepting user input relating to a plurality of health service optionselection factors, means for presenting a plurality of choices for atleast one of the health service option selection factors, and means forpresenting at least one outcome output based on a selection of at leastone of the plurality of choices for at least one of the health serviceoption selection factors. In addition to the foregoing, other apparatusaspects are described in the claims, drawings, and text forming a partof the present disclosure.

In one aspect, a system includes but is not limited to circuitry foraccepting user input relating to a plurality of health service optionselection factors, circuitry for presenting a plurality of choices forat least one of the health service option selection factors, andcircuitry for presenting at least one outcome output based on aselection of at least one of the plurality of choices for at least oneof the health service option selection factors. In addition to theforegoing, other apparatus aspects are described in the claims,drawings, and text forming a part of the present disclosure.

In one aspect, a system includes but is not limited to one or moreinstructions for accepting user input relating to a plurality of healthservice option selection factors, one or more instructions forpresenting a plurality of choices for at least one of the health serviceoption selection factors, and one or more instructions for presenting atleast one outcome output based on a selection of at least one of theplurality of choices for at least one of the health service optionselection factors. In addition to the foregoing, other apparatus aspectsare described in the claims, drawings, and text forming a part of thepresent disclosure.

In one aspect, a computer program product includes but is not limited toa signal-bearing medium bearing accept user input relating to aplurality of health service option selection factors, present aplurality of choices for at least one of the health service optionselection factors, and present at least one outcome output based on aselection of at least one of the plurality of choices for at least oneof the health service option selection factors. In addition to theforegoing, other method aspects are described in the claims, drawings,and text forming a part of the present disclosure.

The foregoing is a summary and thus may contain simplifications,generalizations, inclusions, and/or omissions of detail; consequently,those skilled in the art will appreciate that the summary isillustrative only and is NOT intended to be in any way limiting. Otheraspects, features, and advantages of the devices and/or processes and/orother subject matter described herein will become apparent in theteachings set forth herein.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 illustrates an example of a health services planning and matchingsystem in which embodiments may be implemented, perhaps in a deviceand/or through a network, which may serve as a context for introducingone or more processes and/or devices described herein.

FIG. 2 illustrates certain alternative embodiments of the healthservices planning and matching system of FIG. 1.

FIG. 3 illustrates an example of an operational flow representingexample operations related to health services planning and matching,which may serve as a context for introducing one or more processesand/or devices described herein.

FIG. 4 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 5 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 6 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 7 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 8 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 9 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 10 illustrates an example of a sequence of determined healthservice options.

FIG. 11 illustrates an example of a decision tree of determined healthservice options.

FIG. 12 illustrates an alternative visualization of the decision tree ofdetermined health service options of FIG. 11.

FIG. 13 illustrates an example of a decision tree of determined healthservice options.

FIG. 14 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 15 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 16 illustrates an example of a set of determined health serviceoptions.

FIG. 17 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 18 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 19 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 20 illustrates an example of a Deep Web search program.

FIG. 21 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 22 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 23 illustrates an alternative embodiment of the operational flow ofFIG. 3.

FIG. 24 illustrates an example of an operational flow representingexample operations related to health services planning and matching,which may serve as a context for introducing one or more processesand/or devices described herein.

FIG. 25 illustrates a partial view of an example article of manufactureincluding a computer program product that includes a computer programfor executing a computer process on a computing device related to healthservices planning and matching, which may serve as a context forintroducing one or more processes and/or devices described herein.

FIG. 26 illustrates an example device in which embodiments may beimplemented related to health services planning and matching, which mayserve as a context for introducing one or more processes and/or devicesdescribed herein.

FIG. 27 illustrates an example of a health services planning andmatching system in which embodiments may be implemented, perhaps in adevice and/or through a network, which may serve as a context forintroducing one or more processes and/or devices described herein.

FIG. 28 illustrates certain alternative embodiments of the healthservices planning and matching system of FIG. 1.

FIG. 29 illustrates certain alternative embodiments of the healthservices planning and matching system of FIG. 1.

FIG. 30 illustrates certain alternative embodiments of the healthservices planning and matching system of FIG. 1.

FIG. 31 illustrates an example of an operational flow representingexample operations related to health services planning and matching,which may serve as a context for introducing one or more processesand/or devices described herein.

FIG. 32 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 33 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 34 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 35 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 36 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 37 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 38 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 39 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 40 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 41 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 42 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 43 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 44 illustrates an alternative embodiment of the operational flow ofFIG. 31.

FIG. 45 illustrates a partial view of an example article of manufactureincluding a computer program product that includes a computer programfor executing a computer process on a computing device related to healthservices planning and matching, which may serve as a context forintroducing one or more processes and/or devices described herein.

FIG. 46 illustrates an example device in which embodiments may beimplemented related to health services planning and matching, which mayserve as a context for introducing one or more processes and/or devicesdescribed herein.

DETAILED DESCRIPTION

In the following detailed description, reference is made to theaccompanying drawings, which form a part hereof. In the drawings,similar symbols typically identify similar components, unless contextdictates otherwise. The illustrative embodiments described in thedetailed description, drawings, and claims are not meant to be limiting.Other embodiments may be utilized, and other changes may be made,without departing from the spirit or scope of the subject matterpresented here.

FIG. 1 illustrates an example system 100 in which embodiments may beimplemented. The system 100 includes a device 102. The device 102 maycontain, for example, treatment planning module 104 and health careservices matching unit 120. The device 102 may communicate over anetwork or directly with remote treatment planning module 150 and/orremote health care services matching unit 152. User 140 may interactdirectly or through a user interface with device 102. Device 102 maycommunicate with service provider 160, which may include health careservices provider 162 and/or payer 170. Device 102 may accept user inputto provide one or more health services options, for example viatreatment planning module 104. Device 102 may accept a selected healthservice option and match it with an appropriate service provider via,for example health care services matching unit 120. Service provider 160may include, for example, health care services provider 162 and/or payer170.

In FIG. 1, health care services matching unit 120 may solicit a healthcare services option from a service provider 160. Such a solicitationmay include an invitation to bid in an auction, a reverse auction, orthe like. Results of such a solicitation may include matching a doctorcapable of providing a chosen health care services option with the user140 in need of the chosen health care services option, perhaps accordingto one or more preferences provided by the user 140.

In FIG. 1, the device 102 is illustrated as possibly being includedwithin a system 100. Of course, virtually any kind of computing devicemay be used to implement the special purpose treatment planning module104 and/or special purpose health care services matching unit 120, suchas, for example, a workstation, a desktop computer, a networkedcomputer, a server, a collection of servers and/or databases, a virtualmachine running inside a computing device, a mobile computing device, ora tablet PC.

Additionally, not all of the treatment planning module 104 and/or healthcare services matching unit 120 need be implemented on a singlecomputing device. For example, the treatment planning module 104 and/orhealth care services matching unit 120 may be implemented and/oroperable on a remote computer, while a user interface and/or localinstance of the treatment planning module 104 and/or health careservices matching unit 120 are implemented and/or occur on a localcomputer. Further, aspects of the treatment planning module 104 and/orhealth care services matching unit 120 may be implemented in differentcombinations and implementations than that shown in FIG. 1. For example,functionality of a user interface may be incorporated into the treatmentplanning module 104 and/or health care services matching unit 120. Thetreatment planning module 104 and/or health care services matching unit120 may perform simple data relay functions and/or complex dataanalysis, including, for example, fuzzy logic and/or traditional logicsteps. Further, many methods of searching health care and/or serviceprovider databases known in the art may be used, including, for example,unsupervised pattern discovery methods, coincidence detection methods,and/or entity relationship modeling. In some embodiments, the treatmentplanning module 104 and/or health care services matching unit 120 mayprocess user input data according to health care options and/or serviceprovider information available as updates through a network.

Treatment planning module 104 and/or health care services matching unit120 may access data stored in virtually any type of memory that is ableto store and/or provide access to information in, for example, aone-to-many, many-to-one, and/or many-to-many relationship. Such amemory may include, for example, a relational database and/or anobject-oriented database, examples of which are provided in more detailherein.

FIG. 2 illustrates certain alternative embodiments of the system 100 ofFIG. 1. In FIG. 2, the user 140 may interact with treatment planningmodule 104 and/or health care services matching unit 120 operable on thedevice 102. Health-related status input 240 may be input to treatmentplanning module 104 implemented on the device 102. The device 102 cancommunicate over a network with remote treatment planning module 150and/or remote health care services matching unit 152. Treatment planningmodule 104 may include, for example, research database 206, experiencedatabase 208, standard of care database 210, user preference data 212,service provider database 214, Deep Web search unit 216, and/or Web 2.0content delivery unit 218. The treatment planning module 104 may accessand send health-related services options 242 to user 140. User 140 maysubsequently choose and send health-related services selection 244including a desired health service option to device 102 including healthcare services matching unit 120. Health care services matching unit 120may include, for example, service provider database 222, sole sourceselection unit 224, auction unit 226, 228 arbitrage unit 228, userpreference database 230, Deep Web search unit 232, and/or Web 2.0matching unit 234. Health care services matching unit 120 maycommunicate directly or over a network with service provider 160 toobtain a suitable health-related service according to health-relatedservices selection 244 and any user preference contained, for example,in user preference database 230. Service provider 160 may include healthcare services provider 162 and/or payer 170. Health care servicesprovider 162 may include, for example, physician 264, hospital 266,and/or health maintenance organization 268. Payer 170 may include, forexample, insurer 272, and/or government agency 274. Health care servicesmatching unit 120 may then present matched health-related service 246 touser 140.

In this way, the user 140, who may be using a mobile device that isconnected through a network with the system 100 and/or device 102 (e.g.,in an office, outdoors and/or in a public environment), may generate amatched health-related service 246 as if the user 140 were interactinglocally with the device 102 and/or system 100.

As referenced herein, the treatment planning module 104 and/or healthcare services matching unit 120 may be used to perform various dataquerying and/or recall techniques with respect to the health-relatedstatus input 240 and/or health-related services selection 244, in orderto obtain and/or present health-related services options 242 and/ormatched health-related service 246. For example, where thehealth-related status input 240 is organized, keyed to, and/or otherwiseaccessible using one or more reference health-related status indicatorssuch as symptom, disease, diagnosis, or the like, treatment planningmodule 104 and/or health care services matching unit 120 may employvarious Boolean, statistical, and/or semi-boolean searching techniquesto match health-related status input 240 and/or health-related servicesselection 244 with one or more appropriate health-related servicesoptions 242 and/or matched health-related service 246. Similarly, forexample, where user preference data is organized, keyed to, and/orotherwise accessible using one or more service provider 160 interestprofiles, various Boolean, statistical, and/or semi-boolean searchingtechniques may be performed by health care services matching unit 120 tomatch a given health-related services selection 244 with a serviceprovider 160 to present, for example, a matched health-related service246.

Many examples of databases and database structures may be used inconnection with the treatment planning module 104 and/or health careservices matching unit 120. Such examples include hierarchical models(in which data is organized in a tree and/or parent-child nodestructure), network models (based on set theory, and in whichmulti-parent structures per child node are supported), orobject/relational models (combining the relational model with theobject-oriented model).

Still other examples include various types of eXtensible Mark-upLanguage (XML) databases. For example, a database may be included thatholds data in some format other than XML, but that is associated with anXML interface for accessing the database using XML. As another example,a database may store XML data directly. Additionally, or alternatively,virtually any semi-structured database may be used, so that context maybe provided to/associated with stored data elements (either encoded withthe data elements, or encoded externally to the data elements), so thatdata storage and/or access may be facilitated.

Such databases, and/or other memory storage techniques, may be writtenand/or implemented using various programming or coding languages. Forexample, object-oriented database management systems may be written inprogramming languages such as, for example, C++ or Java. Relationaland/or object/relational models may make use of database languages, suchas, for example, the structured query language (SQL), which may be used,for example, for interactive queries for information and/or forgathering and/or compiling data from the relational database(s).

For example, SQL or SQL-like operations over one or more referencehealth attribute and/or reference service provider may be performed, orBoolean operations using a reference health attribute and/or referenceservice provider may be performed. For example, weighted Booleanoperations may be performed in which different weights or priorities areassigned to one or more of the reference health-related statusattributes and/or reference service providers, including referencehealth conditions and/or reference service providers associated withvarious reference health-related status attributes, perhaps relative toone another. For example, a number-weighted, exclusive-OR operation maybe performed to request specific weightings of desired (or undesired)health reference data or service providers to be included or excluded.Reference health-related status attributes may include normalphysiological values for such health-related things as pain, reactiontime, body or eye movement, memory, alertness, blood pressure, or thelike. Such normal physiological values may be “normal” relative to theuser 140, to a subpopulation to which the user 140 belongs, or to ageneral population. Similarly, reference service providers may beassociated with, for example, the general medical community, a medicalspecialty, a local geographical area or the like.

Following are a series of flowcharts depicting implementations. For easeof understanding, the flowcharts are organized such that the initialflowcharts present implementations via an example implementation andthereafter the following flowcharts present alternate implementationsand/or expansions of the initial flowchart(s) as either sub-componentoperations or additional component operations building on one or moreearlier-presented flowcharts. Those having skill in the art willappreciate that the style of presentation utilized herein (e.g.,beginning with a presentation of a flowchart presenting an exampleimplementation and thereafter providing additions to and/or furtherdetails in subsequent flowcharts) generally allows for a rapid and easyunderstanding of the various process implementations. In addition, thoseskilled in the art will further appreciate that the style ofpresentation used herein also lends itself well to modular and/orobject-oriented program design paradigms.

FIG. 3 illustrates an operational flow 300 representing exampleoperations related to health services planning and matching. In FIG. 3and in following figures that include various examples of operationalflows, discussion and explanation may be provided with respect to theabove-described system environments of FIGS. 1-2, and/or with respect toother examples and contexts. However, it should be understood that theoperational flows may be executed in a number of other environments andcontexts including that of FIG. 20, and/or in modified versions of FIGS.1-2. Also, although the various operational flows are presented in thesequence(s) illustrated, it should be understood that the variousoperations may be performed in other orders than those which areillustrated, or may be performed concurrently.

After a start operation, operation 310 depicts accepting an indicationof at least one health-related status of an individual. For example, auser 140 can enter into device 102 a symptom or disease. The user 140may be a patient newly informed of a medical condition, an individualexperiencing one or more symptoms, a health care practitionerinvestigating health care services options for a patient in their care,a health care maintenance organization planning for the care of apatient, or the like. An indication of at least one health-relatedstatus of an individual may also include a desire for cosmeticenhancement, pregnancy, or improvement in athletic performance.

Operation 320 depicts determining at least one health service option forthe individual based on the indication of at least one health-relatedstatus. For example, device 102 and/or treatment planning module 104,upon accepting a symptom or disease from a user 140, for example, mayaccess a standard of care database 210 so as to generate a set of healthcare services options. For example, if a user 140 entered “pancreaticcancer,” the treatment planning module may determine testing andtreatment options recommended for pancreatic cancer by the AmericanMedical Association. Such standard of care options may include biopsy,curative surgery including the Whipple procedure, palliative surgery,radiation therapy, chemotherapy, drug therapy including erlotinib and/orgemcitabine, changes to the diet, and/or pain medication. In oneembodiment, treatment planning module 104 may present the options in theform of a decision tree, with testing and treatment steps presented in abranching, sequential format showing the timing of treatment steps,required treatments conditioned upon various testing results, and thelike. Duration of treatment may also be determined, for example, acourse of weeks or months for chemotherapy and/or radiation therapy. Inother embodiments, cost estimates may be determined for various healthcare services options. In still other embodiments, statistics may bedetermined various health care services options, such as, for example,5-year survival rates for various cancer interventions, morbidity and/ormortality rates for a given disease therapy, or side effect frequencyand/or severity for a given cosmetic procedure.

One example of such a decision tree can be found in Tarricone et al.,“Economic evaluation of nimesulide versus diclofenac in the treatment ofosteoarthritis in France, Italy and Spain,” Clin. Drug Invest. 21(7) pp.453-464 (2001) (incorporated herein by reference in its entirety), inwhich a decision tree is presented that contains all the possible chancenodes for each treatment branch as well as adverse events withprobabilities for each. An optional component that can be presented foreach treatment option is a financial cost and/or an estimate of timerequired for a given treatment option.

For example, treatment planning module 102 may access data from researchdatabase 206, experience database 208, and/or standard of care database210. For example, research database 206 may include informationpublished in scientific journals, for example, published results ofclinical testing. Other sources of research data include government datafound at, for example, clinicaltrials.gov, a central repository forclinical trial planning and results. At clinicaltrials.gov, the data maybe searched by word or phrase, for example, condition, drugintervention, sponsor, and/or location. Studies may also be searched byage group. Similar databases exist for alternative medicine trials, forexample, as found at the National Cancer Institute's web pagehttp://www.cancer.gov/CAM/clinicaltrials_list. html.

For example, the Health Services Technology/Assessment Texts (HSTAT) isa free, Web-based resource of full-text documents that provide healthinformation and support health care decision making. HSTAT's audienceincludes health care providers, health service researchers, policymakers, payers, consumers and the information professionals who servethese groups. The web address ishttp://www.ncbi.nlm.nih.gov/books/by.fcgi?rid=hstat and the site allowssearching by key word, such as “cancer pain.” Such a search bringsresults from the NCBI Bookshelf database, including excerpts from booksthat discuss the topic. Examples of available information includes, forcancer pain, discussions of, inter alia, NSAIDS, opioids,bisphosphonates for bone cancer pain, reflexology, and acupuncture.

An experience database 208 may include information provided byindividual(s) who have undergone testing and or treatment and who haveprovided results and/or subjective conclusions based on their ownexperience. Such a database may take the form of a information compiledby online patient communities, peer-to-peer sharing of experientialdata, and other bodies of user-generated data. For example,patientslikeme.com includes data from individuals with various ailmentswho post information about themselves including, for example, disease,diagnosis date, symptoms, medications taken (including dosage and lengthof time), outcome data, geographical location, and the like.Disease-specific patient experience registries also exist online. Forexample, ALSconnection.com or ALSconnection is a patient-driven ALSregistry serving to collect data from ALS patients in North America.

A standard of care database 210 may include patient care standards fromhealth care organizations such as the American Medical Association,American College of Physicians, and the National Library of Medicine.Patient care guidelines may suggest a treatment for a given condition,for example, according to the New England Journal of Medicine (2004),adjuvant chemotherapy for lung cancer is a new standard of care. Oneonline source of standard of care guidelines can be found atguideline.gov, which is the site of the United States government'sNational Guideline Clearinghouse. Searches can be conducted at this siteto find, for example, standard of care guidelines for cancer prevention,nutrition, screening, and treatment.

It should be recognized that treatment planning module 104 is notlimited to treatment planning; treatment planning module 104 may alsoplan prevention, testing, or other steps in addressing a health-relatedstatus of an individual.

Operation 330 depicts providing a matching system for procurement of adesired health service option. For example, device 102 and/or healthcare services matching unit 120, upon accepting a selectedhealth-related services option from user 140, may solicit bids frompotential service providers 160. In the pancreatic cancer example above,a user 140 may select laparoscopy with biopsy as the health careservices option from among those determined by treatment planning module104, for example. Based on this selection, health care services matchingunit 120 may contact service provider(s) 160 to find capable and/oravailable service providers. In some embodiments, health care servicesmatching unit 120 may limit contacts to those service providers 160 thatsatisfy a given user preference, such as geographic location, costlevel, quality ranking, or the like. Health care services matching unit120 may include a service provider database 222, a sole source selectionunit 224, an auction unit, an arbitrage unit 228, and/or a userpreference database 230. In some embodiments, service providers 160 maybe invited to bid for a contract to provide a health care service,resulting in a low cost health care service for user 140.

For example, in the case where a user 140 selects laparoscopy withbiopsy as a desired screening procedure for suspected pancreatic cancer,health care services matching unit 120 may conduct an auction amonglocal oncologists, resulting in a match with a local oncologist that isconvenient and affordable to the user 140 and/or affordable to theinsurer of user 140. In an alternative embodiment, health care servicesmatching unit 120 may restrict service providers 160 to those havingnational recognized oncology screening and/or treatment services, basedon an expressed preference of user 140.

In yet another embodiment, treatment planning module 104 may accept“Huntingdon's chorea” an indication of at least one health-relatedstatus of an individual, and “doctors within 50 miles of Abilene, Tex.”as a user preference datum. Treatment planning module 104 mayaccordingly determine that there is only one doctor specializing inHuntingdon's chorea testing and/or treatment within 50 miles of Abilene,Tex. In one embodiment, a default setting may direct the device 102,health care services matching unit, and/or sole source selection unit224 to match the one doctor able to provide the health service optionwith the user 140 as a way of providing a matching system forprocurement of a desired health service option. In one embodiment, adefault setting may allow for matching with no input from user 140 otherthan the initial indication of at least one health-related status of anindividual.

FIG. 4 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 4 illustrates example embodiments where theaccepting operation 310 may include at least one additional operation.Additional operations may include operation 400, 402, 404, 406, and/oroperation 408.

Operation 400 depicts accepting user input including an indication of atleast one health-related status of an individual. For example, device102 and/or treatment planning module 104 may accept user input includingan indication of at least one health-related status of an individual.For example, treatment planning module 104 may accept from user 140 asymptom, a disease name, a diagnosis name, a health service procedurename, or the like. Virtually any health-related term may be accepted;each health-related term will serve as an indication of at least onehealth-related status of the individual. For example, accepting userinput in the form of “facelift” may be an indication of a desire forcosmetic surgery. This may be used to determine health care servicesoptions for facelift services including treatment centers. Specificoptions for service providers including plastic surgeons, hospitals,plastic surgery resorts, or the like may also be determined. Optionsother than plastic surgery may also be determined based on this userinput, such as peels, dermabrasion, or the like.

As used herein, the term “user” may include anyone using the system 100to determine health services options and to obtain an appropriateservice provider. For example, user 140 may include an individualexperiencing discomfort that may be a symptom of a disease.Alternatively, the user 140 may be a patient looking for next steps inher treatment and/or in need of a new doctor and/or a second opinion. Inanother embodiment, the user 140 may be a health care provider, such asa general practice doctor or a primary care provider, who may be adoctor, a nurse practitioner, a physician assistant, an alternativemedicine practitioner or the like, who wants to find a referral for apatient in need of a specialist. In yet another embodiment, the user 140may include an insurer wanting to find a low-cost health servicesprovider in a certain geographic region for an insured individual orgroup of individuals.

Operation 402 depicts accepting health care provider input including anindication of at least one health-related status of an individual. Forexample, device 102 and/or treatment planning module 104 may accepthealth care provider input including an indication of at least onehealth-related status of an individual. For example, an internist mayinput “type II diabetes” for a specialist to refer a patient newlydiagnosed with diabetes. In cases of difficult diagnoses, a set ofsymptoms may be entered by a physician and an optional medical expertsystem function in the treatment planning module 104 may be accessed togenerate a list of possible diagnoses for the symptom set. In oneembodiment, a set of specialists with whom to consult may be determinedby the device 102 and/or treatment planning module 104.

Operation 404 depicts accepting patient input including an indication ofat least one health-related status of the patient. For example, device102 and/or treatment planning module 104 may accept patient inputincluding an indication of at least one health-related status of thepatient. For example, a diabetes patient may input “type II diabetes”when looking for an endocrinologist to provide care for her condition.In some embodiments, a set of symptoms may be entered by a patient, andan optional medical expert system function in the treatment planningmodule 104 may be accessed to generate a list of possible diagnoses forthe symptom set, and/or health care providers capable of providing anappropriate service. For example, if a patient enters skin rash, fever,and neck stiffness, device 102 and/or treatment planning module 104 maylist meningitis as one possible diagnosis for the patient. Such apatient may be merely experiencing symptoms and not yet under the careof a health care provider.

Operation 406 depicts accepting health maintenance organization inputincluding an indication of at least one health-related status of apatient. For example, device 102 and/or treatment planning module 104may accept health maintenance organization input including an indicationof at least one health-related status of a patient. For example, ahealth maintenance organization may input “carpal tunnel syndrome” tofind physical therapists providing services for patients with thiscondition. If the health care maintenance organization then chooses aparticular determined health service option, such as stretchingexercises and application of a wrist brace, a geographical preferencemay be entered such that the device 102 and/or health care servicesmatching unit 120 can find one or more appropriate health care providersof carpal tunnel therapy in the desired geographic area.

Operation 408 depicts accepting insurer input including an indication ofat least one health-related status of an insured individual. Forexample, device 102 and/or treatment planning module 104 may acceptinsurer input including an indication of at least one health-relatedstatus of an insured individual. For example, an insurer may input“congestive heart failure” to identify risk factors for congestive heartfailure among individuals in a general population or a subpopulation. Inone embodiment, treatment planning module 104 may determine thatcoronary artery disease, smoking, diabetes, hypertension, and highcholesterol are significant risk factors for congestive heart failureamong individuals aged 55 to 85 in the United States. Stress-testmonitoring of coronary artery disease may be identified as one of theoptions for congestive heart failure prevention, and upon selection ofthis option by insurer 272, local cardiologists may be invited toprovide competitive rates for providing stress tests to insuredindividuals.

FIG. 5 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 5 illustrates example embodiments where theaccepting operation 310 may include at least one additional operation.Additional operations may include operation 500 and/or operation 502.

Operation 500 depicts accepting an indication of at least one medicaldiagnosis. For example, device 102 and/or treatment planning module 104may accept an indication of at least one medical diagnosis. For example,an individual may input “glaucoma” to determine treatment steps to takeonce a diagnosis is received. Often a physician will recommend a courseof treatment upon making a diagnosis, but a patient may also want toknow about alternative treatments, including alternatives to Westernmedical treatment. In this example of a glaucoma diagnosis, treatmentplanning module 104 may determine medical treatment options includingbeta blockers, prostaglandin analogs, alpha-adrenergic agonists,carbonic anhydrase inhibitors, as well as alternative treatment optionsincluding aerobic exercise, marijuana therapy and/or acupuncturetherapy.

Operation 502 depicts accepting an indication of at least one of anoncologic diagnosis, a cardiac diagnosis, a neurologic diagnosis, apulmonary diagnosis, a hematologic diagnosis, an infectious diagnosis, avascular diagnosis, a gastrointestinal diagnosis, an hepatobiliarydiagnosis, a renal diagnosis, a metabolic diagnosis, a geneticdiagnosis, a musculoskeletal diagnosis, a urologic diagnosis, agynecologic diagnosis, an obstetric diagnosis, a rheumatologicdiagnosis, an otolaryngologic diagnosis, or a dermatologic diagnosis.For example, device 102 and/or treatment planning module 104 may acceptan indication of at least one of an oncologic diagnosis, a cardiacdiagnosis, a neurologic diagnosis, a pulmonary diagnosis, a hematologicdiagnosis, an infectious diagnosis, a vascular diagnosis, agastrointestinal diagnosis, an hepatobiliary diagnosis, a renaldiagnosis, a metabolic diagnosis, a genetic diagnosis, a musculoskeletaldiagnosis, a urologic diagnosis, a gynecologic diagnosis, an obstetricdiagnosis, a rheumatologic diagnosis, an otolaryngologic diagnosis, or adermatologic diagnosis. For example, an caretaker may input “Alzheimer'sdisease” as a neurologic diagnosis to determine treatment steps to takeonce an Alzheimer's diagnosis is received. Often a person caring for anindividual with Alzheimer's will not know what to do or where to turnfor help in caring for the affected individual. Inputting “Alzheimer'sdisease” into the treatment planning module 104, for example, may resultin a determination of treatment options including drug therapy, e.g.,including memantine, glantamine, rivastigmine, doenpezil, and/ortacrine; and/or non-pharmacological behavioral-management approachessuch as playing music of the person's choosing, one-on-one interaction,playing videotapes of family members, walking and light exercise, andpet therapy.

FIG. 6 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 6 illustrates example embodiments where theaccepting operation 310 may include at least one additional operation.Additional operations may include operation 600, 602, 604, and/oroperation 606.

Operation 600 depicts accepting an indication of at least one symptom.For example, device 102 and/or treatment planning module 104 may acceptan indication of at least one symptom. In one embodiment, treatmentplanning module 104 may accept a symptom such as “decreased nightvision.” Treatment planning module 104 may then determine a set oftesting and treatment steps including, for example, one testing step maybe to look at decreased night vision as a side effect of variousmedicines. Another testing step may include cataract testing, such as arefraction test, a slitlamp exam, a contrast sensitivity test, a glaredisability test, a potential acuity test, a dilated fundus exam, or thelike. Treatment options for cataracts may also be determined at thistime. Alternatively, user 140 may opt to defer listing of treatmentoptions until a diagnosis is obtained based on the testing optionspresented. In this scenario, if the user 140 discovers that she hascataracts, treatment options including surgery may be determined andpresented to user 140.

Operation 602 depicts accepting an indication of at least one of pain,cardiac complaint, neurologic complaint, pulmonary complaint,hematologic complaint, infectious complaint, vascular complaint,gastrointestinal complaint, hepatobiliary complaint, renal complaint,metabolic complaint, musculoskeletal complaint, urologic complaint,gynecologic complaint, rheumatologic complaint, otolaryngologiccomplaint, or dermatologic complaint. For example, device 102 and/ortreatment planning module 104 may accept an indication of at least oneof pain, cardiac complaint, neurologic complaint, pulmonary complaint,hematologic complaint, infectious complaint, vascular complaint,gastrointestinal complaint, hepatobiliary complaint, renal complaint,metabolic complaint, musculoskeletal complaint, urologic complaint,gynecologic complaint, rheumatologic complaint, otolaryngologiccomplaint, or dermatologic complaint. In one embodiment, treatmentplanning module 104 may accept “earache” as an otolaryngologiccomplaint. In this example, treatment planning module may determine anotoscope examination to diagnose infection of the outer or middle ear(e.g., otitis externa or otitis media), and treatment steps includingantibiotic ear drops in the case of otitis externa, and/or oralantibiotics in the case of otitis media. Upon selection of a desireddetermined examination and/or treatment, health care services matchingunit may search a health care services provider database for a list ofthose providers with expertise in the ear/nose/throat specialty and withoffices in the geographic area near the user 140. The resulting subsetof local ear/nose/throat specialists may then be invited to bid on thecost of services for examination and/or treatment of user 140, therebyproviding a matching system for procurement of the desired healthservice option.

Operation 604 depicts accepting an indication of a symptom profile. Forexample, device 102 and/or treatment planning module 104 may accept anindication of a symptom profile. In one embodiment, treatment planningmodule 104 may accept a constellation of symptoms that suggests adiagnosis, such as a set of typical symptoms of a known disease. See,e.g., U.S. patent publication 2008/0091086. For example, treatmentplanning module 104 may accept a set of one or more of the followingsymptoms: bull's-eye rash, fever, stiff neck, headache, body aches,fatigue, or redness and swelling in the joints. Based on such aconstellation of symptoms, testing and/or treatment for Lyme disease maybe determined.

Operation 606 depicts accepting an indication of at least one of asymptom frequency, a symptom ranking, or a symptom severity. Forexample, device 102 and/or treatment planning module 104 may accept anindication of at least one of a symptom frequency, a symptom ranking, ora symptom frequency and severity. In one embodiment, treatment planningmodule 104 may accept an indication of asthma symptom severity. TheNational Asthma Education Program, which produces the U.S.-based asthmatreatment guidelines, classifies asthma by its severity, a schemecommonly used by most health professionals. This approach also guidesasthma treatment.

Classification of asthma by severity is based on frequency and severityof asthma symptoms, along with peak flow readings. Levels are referredto as steps, as follows: Step 1: Mild Intermittent; at this level,asthma symptoms occur less than 2 times a week during waking hours andless than twice a month during the night. In between asthma attacks, nosymptoms occur at all, and the attacks themselves are generally brief,though their intensity can vary. Peak flow variability is less than 20percent. Step 2: Mild Persistent; at this level, asthma symptoms occurmore than twice a week, but not as often as daily. They may occasionallywake one up at night, but that happens less than 2 times a month. Asthmaattacks may interfere with activity temporarily. Peak flow tends to bebetween 20 and 30 percent. Step 3: Moderate Persistent; at this level,asthma begins to interfere more with daily living. Symptoms are seenevery single day, and use of a quick-relief inhaler daily may berequired. Asthma attacks occur at least twice a week and often interferewith activity. They may last for days at a time. Individuals may wake up1 or more times a week with symptoms. Peak flow rate varies by more than30 percent. Step 4: Severe Persistent; this is the most severe form ofasthma and at this level, symptoms are basically continuous. Activity isseverely limited and asthma attacks and night symptoms are frequent.Peak flow varies by more than 30 percent.

The National Asthma Education Program advocates a step-wise approach totreating asthma in adults and children older than age 5, based on thetypes of asthma severity described above. For instance, mildintermittent asthma is usually treated only with quick-relief medicines,while severe persistent asthma is treated with one or more dailycontroller medicines and frequent use of quick-relief medicines.Accordingly, treatment planning module 104 may present appropriatetreatment options for each type of asthma.

Symptom ranking may include priority rankings of symptoms, such as thoseexperienced with gastrointestinal reflux disease (GERD). Heartburn,regurgitation, and dysphagia are considered typical symptoms of GERD.For example, it has been shown that high priority ranking of the symptomdysphagia is predictive of the presence of an esophageal stricture, buthas a negative association with abnormal manometric and pH studies. Incontrast, high priority ranking of the symptom heartburn andregurgitation are positively associated with abnormal manometric and pHresults. See Martinez-Serna et al., “Symptom Priority Ranking in theCare of Gastroesophageal Reflux: A Review of 1,850 Cases,” Dig Dis,17:219-224 (1999).

FIG. 7 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 7 illustrates example embodiments where theaccepting operation 310 may include at least one additional operation.Additional operations may include operation 700, 702, 704, and/oroperation 706.

Operation 700 depicts accepting an indication of at least onehealth-related condition. For example, device 102 and/or treatmentplanning module 104 may accept an indication of at least onehealth-related condition. In one embodiment, treatment planning module104 may accept an indication of a health-related condition such as“weight-loss.” In such a case, treatment planning module 104 maydetermine evaluative and treatment services such as nutritionistservices or dietetics services. Nutraceutical options, may also bedetermined.

Operation 702 depicts accepting an indication of at least one goal. Forexample, device 102 and/or treatment planning module 104 may accept anindication of at least one goal. In one embodiment, treatment planningmodule 104 may accept an indication of an athletic performance goal,such as increased aerobic conditioning. Determined health serviceoptions for this goal may include exercise training services, nutritionservices, sports psychology services, or the like.

Operation 704 depicts accepting an indication of at least one of ashort-term goal, a long-term goal, an achievement goal, or a stabilitygoal. For example, device 102 and/or treatment planning module 104 mayaccept an indication of at least one of a short-term goal, a long-termgoal, an achievement goal, or a stability goal. In one embodiment,treatment planning module 104 may accept an achievement goal, such asstopping smoking cigarettes. In this example, treatment planning module104 may determine nicotine replacement therapy, such as over-the-counteranti-smoking aids such as nicotine gum. Another nicotine replacementtherapy is the nicotine patch. Other alternatives to combat the urge tosmoke include support and counseling services, hypnosis, acupuncture, orthe like.

A stability goal may include maintenance programs whereby an individualis able to achieve a goal with a degree of consistency over time. Forexample, a stability goal for a diabetic may include maintaining herblood sugar within a recommended range for a given period of months oryears. Another example of a stability goal is maintaining one's LDLcholesterol at a low level over a certain period of time.

Operation 706 depicts accepting an indication of at least one ofpregnancy, cosmetic manipulation goal, well-being goal, or dietary goal.For example, device 102 and/or treatment planning module 104 may acceptan indication of at least one of pregnancy, cosmetic manipulation goal,well-being goal, or dietary goal. In one embodiment, treatment planningmodule 104 may accept an indication of “rhinoplasty” as the cosmeticmanipulation goal. In this embodiment, treatment planning module 104 maydetermine various rhinoplasty options, including, for example, openrhinoplasty, closed rhinoplasty, or non-surgical rhinoplasty. In somesituations, a patient/health care provider/user 140 may not be aware ofthe range of options available for addressing a given health-relatedstatus or health-related condition. Accordingly, the system 100, device102, and/or treatment planning module 104 may be useful to the user 140in terms of discovering a range of options available to pursue.

Examples of a pregnancy goal include a goal for becoming pregnant withina certain time frame, a goal for overcoming male or female infertility,a goat for ending a pregnancy, or the like. Examples of a well-beinggoal include a goal for stress management, a goal for depressionmanagement, a goal for sleeplessness management, a goal for anxietymanagement, or the like. Examples of a dietary goal include a goal forweight loss, a goal for a lower body mass index, a goal for increasedmuscle mass, a goal for lower dietary cholesterol intake, a goal for adiabetes-compatible diet, or the like.

FIG. 8 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 8 illustrates example embodiments where thedetermining operation 320 may include at least one additional operation.Additional operations may include operation 800 and/or operation 802.

Operation 800 depicts receiving one or more results of determining atleast one health service option for the individual based on theindication of at least one health-related status. For example, device102 and/or treatment planning module 104 may receive one or more resultsof determining at least one health service option for the individualbased on the indication of at least one health-related status. In oneembodiment, treatment planning module 104 may receive a set of treatmentoptions for multiple sclerosis, the treatment options having beendetermined outside of the United States. In such an embodiment,treatment options are received by device 102 for subsequent processing,including, for example, matching a multiple sclerosis specialist with auser 140.

Operation 802 depicts receiving one or more results of determining atleast one health service option for the individual based on theindication of at least one health-related status from a remote location.For example, device 102 and/or treatment planning module 104 may receiveone or more results of determining at least one health service optionfor the individual based on the indication of at least onehealth-related status from a remote location. In one embodiment,treatment planning module 104 may receive one or more treatment optionsfrom a remote location, such as from a search of a database located inChina (e.g., search results from a Chinese medicine database located inChina).

FIG. 9 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 9 illustrates example embodiments where thedetermining operation 320 may include at least one additional operation.Additional operations may include operation 900, 902, 904, and/oroperation 906.

Operation 900 depicts presenting a sequence of diagnostic or treatmentoptions based on the indication of at least one health-related status.For example, device 102 and/or treatment planning module 104 may presenta sequence of diagnostic or treatment options based on the indication ofat least one health-related status. In one embodiment, treatmentplanning module 104 can accept a sequence of treatment options forobesity, as shown in FIG. 10. FIG. 10 depicts a visualization of testingand treatment steps for system 100 accepting “breast lump” as an exampleof a health-related status 1002. A flow diagram may be determined andpresented based on the accepted health-related status 1002, including asequence of examinations and eventual treatment options. The list ofsequential options may include service providers where appropriate, suchas ob/gyn consult 1004, oncologist consult 1008, and surgeon consult1010. This serves to identify for the user 140 potential serviceproviders who may be required for providing care. Other sequentialoptions include, for this example, mammogram evaluation 1006, biopsyoptions 1012, full body imaging options 1014 to investigate metastasis,surgery options 1016 perhaps including lumpectomy, partial mastectomyand full mastectomy, and chemotherapy/radiation therapy options 1018.

Operation 902 depicts presenting the sequence of diagnostic or treatmentoptions in a decision-tree format. For example, device 102 and/ortreatment planning module 104 may present the sequence of diagnostic ortreatment options in a decision-tree format. In one embodiment,treatment planning module 104 may present options to address “obesity”as a health-related status 1102. FIG. 11 depicts a decision-treevisualization of treatment options for the health-related status 1102,“obesity.” Three treatment paths are depicted, dieting and/or exercise(Path A), pharmaceutical therapy (Path B), and surgery (Path C). Such avisualization shows the treatment paths from the general to thespecific, including the kinds of service provider available for eachpath, specific interventions typically offered by the service providers,such as types and specific drugs available by prescription in the caseof Path B. In the example of Path B, the information provided bytreatment planning module 104 can inform a user 140 consideringpharmaceutical therapy for obesity. That user 140 may use theinformation to contact a physician with questions about the variousdrugs listed/approved for treating obesity. In some embodiments, furtherinformation may be provided, for example, costs associated with varioustreatments, side effects associated with various treatments, successrates, or the like. In one embodiment, treatment planning module 104 candetermine a decision tree showing medical treatments, for example asshown in FIGS. 11-13. Other examples of medical treatment decision treescan be found in U.S. Pat. No. 6,807,531, which is incorporated herein inits entirety.

Evaluation of health services options is discussed in depth in Goodman,Clifford S., “Introduction to Health Care Technology Assessment,”available at http://www.nlm.nih.gov/nichsr/hta101/ta101_c1.html,(January 2004), which is incorporated by reference herein in itsentirety. An example of evaluation of health services options includinga specific decision tree can be found in “Cancer in Scotland:Radiotherapy Activity Planning for Scotland 2011-2015,” available athttp://www.scotland.gov.uk/Publications/2006/01/24131719/28, (2006),which is incorporated by reference herein in its entirety. An example ofa decision tree in the alternative medicine context can be found athttp://cam.utmb.edu/curriculum/cam-decision-tree.asp and in Frenkel etal., “An approach for integrating complementary-alternative medicineinto primary care,” Fam. Pract., 20(3), pp. 324-332 (2003).

FIG. 12 depicts a user interface embodiment wherein user 140 canhighlight one path of options. In one embodiment, system 100 can acceptfeedback about a selected path such that additional information aboutthat path can be provided. For example, if user 140 indicates interestin Path C in FIGS. 11 and 12, additional information about that Path canbe provided by treatment planning module 104, for example, in the formof the flow shown in FIG. 13. FIG. 13 depicts treatment optionsdetermined by the health-related status 1302 “gastric bypass.” This flowshows a required surgeon consult and several kinds of surgery that canbe chosen.

Operation 904 depicts presenting the sequence of diagnostic or treatmentoptions with at least one of testing side effect data, treatment sideeffect data, or testing outcome data, treatment outcome data. Forexample, device 102 and/or treatment planning module 104 may present thesequence of diagnostic or treatment options with at least one of testingside effect data, treatment side effect data, or testing outcome data,treatment outcome data. In one embodiment, treatment planning module 104can show efficacy and/or side effect data for a given treatment option.In the example shown in FIG. 13, for each gastric surgery option shown,outcome and efficacy data is provided, as well as complication and sideeffect data. In this example, efficacy data may include improvement inlong-term mortality rates, reduction in comorbidities, average weightloss, or the like. Complication and side effect data may includeincidence of infection, nausea, pain, or the like.

Operation 906 depicts presenting at least one of a specified number ofdiagnostic or treatment options for a given stage of testing ortreatment, a specified number of branch points for a given course oftesting or treatment, or a specified number of decision levels for agiven course of testing or treatment. For example, device 102 and/ortreatment planning module 104 may present at least one of a specifiednumber of diagnostic or treatment options for a given stage of testingor treatment, a specified number of branch points for a given course oftesting or treatment, or a specified number of decision levels for agiven course of testing or treatment. In one embodiment, treatmentplanning module 104 may present a maximum of three treatment options fora given stage of treatment, as shown in FIG. 11, Paths A and B (Path Cgoes beyond the limit of three treatment options at the bottom of thedecision tree, showing six options). In another embodiment, shown inFIG. 10, one testing/treatment option is shown at each stage oftesting/treatment. In this embodiment, several options are collapsedinto one option box. For example, surgery options 1016 includes severaloptions such as lumpectomy, partial mastectomy, and full mastectomy.These additional options can be shown if the user 140 so chooses.Benefits of limiting the number of options at each stage include makingthe decision tree more manageable to digest and understand in terms ofpresenting a big picture of a prospective course of testing and/ortreatment. Conversely, expanding the number of options provides moreinformation about the options available at each stage.

In yet another embodiment, treatment planning module 104 may present aspecified number of decision levels for a given course of testing ortreatment. For example, with respect to the testing and treatmentprogram depicted in FIG. 10, a user 140 may choose to limit the decisionlevels presented to treatment options only, such that treatment planningmodule 104 may present decision level oncologist consult 1008 throughchemotherapy/radiation therapy options 1018 only.

FIG. 14 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 14 illustrates example embodiments where thedetermining operation 320 may include at least one additional operation.Additional operations may include operation 1400, 1402, and/or operation1404.

Operation 1400 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and based on at least one preference of theindividual. For example, device 102 and/or treatment planning module 104may determine at least one health service option for the individualbased on the indication of at least one health-related status and basedon at least one preference of the individual. In one embodiment,treatment planning module 104 may determine, for example, a course oftesting and/or treatment that takes into account one or more preferencesor sensitivities of the individual, such as “treatments other thansurgery,” “local treatment options,” “non-narcotic treatment options,”or the like.

Operation 1402 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and based on at least one type of treatment as thepreference of the individual. For example, device 102 and/or treatmentplanning module 104 may determine at least one health service option forthe individual based on the indication of at least one health-relatedstatus and based on at least one type of treatment as the preference ofthe individual. In one embodiment, treatment planning module 104 maydetermine a set of health service options for an individual based on akey word and an individual's preference of treatment type. In thisexample, consistent with the determined options of FIG. 10, a user 140may specify a preference that excludes alternative medicine options,and/or that includes surgery options.

Operation 1404 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and based on at least one of an invasivetreatment, a non-invasive treatment, a treatment type having a specifiedrisk attribute, a treatment type approved by a third party, or atreatment associated with a specific substance as the preference of theindividual. For example, device 102 and/or treatment planning module 104may determine at least one health service option for the individualbased on the indication of at least one health-related status and basedon at least one of an invasive treatment, a non-invasive treatment, atreatment type having a specified risk attribute, a treatment typeapproved by a third party, or a treatment associated with a specificsubstance as the preference of the individual. In one embodiment,treatment planning module 104 may access user preference data 212 inorder to guide a determination of a health service option for theindividual. For example, a user preference against surgery as an optionfor obesity may lead to a determination of Paths A and B in FIG. 11. Inanother example, treatment planning module 104 may access standard ofcare database 210 in order to determine health care options for treatingobesity that are approved by, for example, the American MedicalAssociation as a third party.

FIG. 15 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 15 illustrates example embodiments where thedetermining operation 320 may include at least one additional operation.Additional operations may include operation 1502, 1504, 1506, and/oroperation 1508.

Operation 1502 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and based on at least one of a location preferenceor a time frame preference. For example, device 102 and/or treatmentplanning module 104 may determine at least one health service option forthe individual based on the indication of at least one health-relatedstatus and based on at least one of a location preference or a timeframe preference. In one embodiment, treatment planning module 104 maydetermine at least one health service option based on a medicalprocedure such as “gastric bypass surgery” and a location such as“Miami-Dade County, Fla.” As shown in FIG. 16, a database of relevantservice providers 160 (e.g., the five doctors shown in FIG. 13) maycontain, inter alia, location information, allowing treatment planningmodule 104 to present or determine, in this example, only relevantsurgeons located in Miami-Dade County, Fla. In another embodiment,treatment planning module 104 may determine at least one health serviceoption based on a key word such as “bariatric surgery” and “minimum offive years in practice” for the surgeon as the service provider, asshown in FIG. 16. In FIG. 16, Doctor A 1310, Doctor B 1312, Doctor C1314, Doctor D 1316, and Doctor E 1318 each meet the minimum preferencerequirements of five years or more in practice and located in Miami-DadeCounty, Fla. These five options for service providers may then beselected for In this way, the treatment planning module 104 may filterout database results that include surgeons with less than five years ofexperience in practice and/or located outside of a specified geographicarea, in some cases resulting in zero options being listed for a giventherapy. In such a case, where a user 140 is returned no options, othertreatment options may be selected and a new search carried out.

Operation 1504 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and based on at least one recognized health careprovider. For example, device 102 and/or treatment planning module 104may determine at least one health service option for the individualbased on the indication of at least one health-related status and basedon at least one recognized health care provider. In one embodiment,treatment planning module 104 may determine a surgeon as a healthservice option based on the key phrase “gastric surgery” and certifiedby the “American Board of Surgery” as the recognized health careprovider. Other examples of recognized health care providers includeranked doctors, ranked hospitals, health care providers having an awardfor quality of care, or the like.

Operation 1506 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and based on at least one health care providerthat is compatible with the payment capacity of the individual. Forexample, device 102 and/or treatment planning module 104 may determineat least one health service option for the individual based on theindication of at least one health-related status and based on at leastone health care provider that is compatible with the payment capacity ofthe individual. In one embodiment, treatment planning module 104 maydetermine treatment options based on the key phrase “Glioblastomamultiforme” and “Medicaid” as the payment capacity of the individual. Inthis example, treatment options available for payment with Medicaid maybe determined and presented to the user 140. These treatment optionswill be limited to those approved by the United States Food and DrugAdministration, while others, such as Avastin®, may be omitted asincompatible with Medicaid coverage. Conversely, if the payment capacityfor the individual is high, off-label treatments and those withexperimental status may be included as treatment options. Examples ofother payment capacities include specific private insurance plans suchas Premera, Blue Cross/Blue Shield, or the like. Other examples includeMedicare, fee-for-service, point-of-service, preferred providerorganizations, or health maintenance organizations.

Operation 1508 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and based on at least one health care providerthat accepts at least one of Medicare, Medicaid, uninsured patients,workers' compensation, or supplemental health insurance. For example,device 102 and/or treatment planning module 104 may determine at leastone health service option for the individual based on the indication ofat least one health-related status and based on at least one health careprovider that accepts at least one of Medicare, Medicaid, uninsuredpatients, workers' compensation, or supplemental health insurance. Inone embodiment, treatment planning module 104 may determine at least onehealth service option based on an accepted key phrase such as“pregnancy” and “no insurance” as indications of at least onehealth-related status of an individual. In this example, treatmentplanning module 104 may determine prenatal care options that areavailable to an uninsured individual, such as services provided byDenver Health, Denver's public health system, or the Seton System inCentral Texas.

FIG. 17 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 17 illustrates example embodiments where thedetermining operation 320 may include at least one additional operation.Additional operations may include operation 1702 and/or operation 1704.

Operation 1702 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and based on at least one health care providerable to see the individual within a specified time period. For example,device 102 and/or treatment planning module 104 may determine at leastone health service option for the individual based on the indication ofat least one health-related status and based on at least one health careprovider able to see the individual within a specified time period. Inone embodiment, treatment planning module 104 may access informationabout home care nurses who have immediate availability according to theindividual's needs, determining a set of available home care nurses inresponse to accepting “hospice care” and “immediate availability” asaccepted indications of health-related status of an individual.

Operation 1704 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and based on at least one of a health careprovider reported to have the best clinical outcomes for a givendiagnosis, a health care provider giving the lowest-cost care for agiven diagnosis, a health care provider having a highly-rated bedsidemanner, a health care provider recommended by her peers, or a healthcare provider located within a specific geographical proximity to theindividual. For example, device 102 and/or treatment planning module 104may determine at least one health service option for the individualbased on the indication of at least one health-related status and basedon at least one of a health care provider reported to have the bestclinical outcomes for a given diagnosis, a health care provider givingthe lowest-cost care for a given diagnosis, a health care providerhaving a highly-rated bedside manner, a health care provider recommendedby her peers, or a health care provider located within a specificgeographical proximity to the individual. In one embodiment, treatmentplanning module 104 may accept “type II diabetes” as an indication ofhealth-related status and “top-ranked hospital” as a preference of theindividual. Accordingly, treatment planning module 104 may access datarelating to hospital rankings for endocrinology, for example the U.S.News and World Report Hospital rankings, which ranks hospitals for theendocrinology specialty. In this example, online rankings show the MayoClinic in Rochester, Minn., Mass. General Hospital in Boston, Mass., andJohns Hopkins Hospital in Baltimore, Md. as the top three endocrinologyhospitals in the United States.

FIG. 18 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 18 illustrates example embodiments where thedetermining operation 320 may include at least one additional operation.Additional operations may include operation 1800, 1802, 1804, 1806,and/or operation 1808.

Operation 1800 depicts determining at least one of surgery, prescriptiondrug therapy, over-the-counter drug therapy, chemotherapy, radiationtreatment, ultrasound treatment, laser treatment, a minimally invasiveprocedure, antibody therapy, cryotherapy, hormonal therapy, or genetherapy. For example, device 102 and/or treatment planning module 104may determine at least one of surgery, prescription drug therapy,over-the-counter drug therapy, chemotherapy, radiation treatment,ultrasound treatment, laser treatment, a minimally invasive procedure,antibody therapy, cryotherapy, hormonal therapy, or gene therapy. In oneembodiment, as shown in FIG. 11, treatment planning module 104,accepting “obesity” as a health-related status 1102, can determinehealth services options including, for example, Path B includingprescription drug therapy, and Path C including surgery.

Operation 1802 depicts determining at least one of treatment by amedical doctor, treatment by a naturopathic doctor, treatment by anacupuncturist, treatment by an herbalist, self-treatment, or taking noaction for a period of time. For example, device 102 and/or treatmentplanning module 104 may determine at least one of treatment by a medicaldoctor, treatment by a naturopathic doctor, treatment by anacupuncturist, treatment by an herbalist, self-treatment, or taking noaction for a period of time. In one embodiment, treatment planningmodule 104 may accept “obesity” as an indication of health-relatedstatus and determine various health service options. As shown in FIG.11, Path A includes self-treatment in the form of diet and exercise,while Paths B and C include treatment mediated by a physician. Virtuallyany combination of available testing/treatment options may be presented.Testing/treatment options may be narrowed by user preference.

Operation 1804 depicts determining at least one of a diagnosis optionset or a treatment option set. For example, device 102 and/or treatmentplanning module 104 may determine at least one of a diagnosis option setor a treatment option set. In one embodiment, as shown in FIG. 10,diagnosis or testing options may be determined and presented as initialsteps in a decision flow diagram, followed by treatment options. Theexample of FIG. 10, showing breast cancer testing and treatment options,in some cases may also determine additional testing optionspost-treatment as follow-up testing options.

Operation 1806 depicts determining at least one health service optionfor the individual based on the indication of at least onehealth-related status and at least one of a standard of care, an expertopinion, an insurance company evaluation, or research data. For example,device 102 and/or treatment planning module 104 may determine at leastone health service option for the individual based on the indication ofat least one health-related status and at least one of a standard ofcare, an expert opinion, an insurance company evaluation, or researchdata. In one embodiment, treatment planning module 104 may accessstandard of care database 210 to determine obesity treatment optionsthat are currently recommended by the medical community and/or approvedby one or more insurance companies.

Operation 1808 depicts determining at least one of a list ofdiagnosticians, a list of clinicians, a list of therapists, a list ofdentists, a list of optometrists, a list of pharmacists, a list ofnurses, a list of chiropractors, or a list of alternative medicinepractitioners. For example, device 102 and/or treatment planning module104 may determine at least one of a list of diagnosticians, a list ofclinicians, a list of therapists, a list of dentists, a list ofoptometrists, a list of pharmacists, a list of nurses, a list ofchiropractors, or a list of alternative medicine practitioners. In oneembodiment, treatment planning module 104 can, based on an acceptedindication of health-related status for an individual, access serviceprovider database 214 to determine a list of clinicians (e.g.,surgeons), as depicted in FIGS. 13 and 16 (i.e., Doctor A 1310 throughDoctor E 1318). In another example, treatment planning module 104 candetermine a list of optometrists and/or ophthalmologists in response toreceiving “blurred vision” as an indication of health-related status. Inyet another example, treatment planning module 104 can access serviceprovider database 214 to provide a list of physicians who are painspecialists and a list of acupuncturists in response to receiving “neckpain” as an indication of health-related status.

FIG. 19 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 19 illustrates example embodiments in which thedetermining operation 320 may include at least one additional operation.Additional operations may include operation 1900, 1902, 1904, and/oroperation 1906.

Operation 1900 depicts determining at least one list of treatmentcenters. For example, device 102 and/or treatment planning module 104may determine at least one list of treatment centers based on anaccepted indication of at least one health-related status of anindividual. In one embodiment, treatment planning module 104 maydetermine a list of hospitals that perform a given medical procedure. Inanother example, treatment planning module 104 may determine a list ofrecovery centers at which an individual can find services to address“substance abuse” as an indication of at least one health-related statusof an individual, for example.

Operation 1902 depicts determining at least one of a list of clinics, alist of hospitals, a list of medical offices, or a list of alternativemedicine practice offices. For example, device 102 and/or treatmentplanning module 104 may determine at least one of a list of clinics, alist of hospitals, a list of medical offices, or a list of alternativemedicine practice offices. In one embodiment, treatment planning module104 may determine a list of diabetes clinics for an individual in needof diabetes health service options. In another example, treatmentplanning module 104 may determine a list of dental and/or medicaloffices specializing in oral surgery for an individual with“temporomandibular joint dysfunction” as an indication of at least onehealth-related status of the individual.

Operation 1904 depicts using at least one third party reference todetermine the at least one health service option for the individualbased on the indication of at least one health-related status. Forexample, device 102 and/or treatment planning module 104 may use atleast one third party reference to determine the at least one healthservice option for the individual based on the indication of at leastone health-related status. In one embodiment, treatment planning module104 may use a Physicians' Desk Reference (PDR) database to determine,for example, a set of health-related services options for an individualwith “high cholesterol” as an indication of at least one health-relatedstatus. In this example, treatment planning module 104 may use a PDRcardiology database to retrieve health-related services options for apatient with high cholesterol.

Operation 1906 depicts using at least one of a search engine, a Deep Websearch program, a web crawler, an online database, or an onlinedirectory to determine the at least one health service option for theindividual based on the indication of at least one health-relatedstatus. For example, device 102, treatment planning module 104, and/orDeep Web Search Unit 216 may use at least one of a search engine, a DeepWeb search program, a web crawler, an online database, or an onlinedirectory to determine the at least one health service option for theindividual based on the indication of at least one health-relatedstatus. In one embodiment, treatment planning module 104 may use a webcrawler to identify a suitable online database, and then a subsequentsearch function to extract specific data from the online database. Forexample, if treatment planning module 104 accepts “Crohn's disease” asan indication of at least one health-related status of an individual, itmay initiate a search of the web for medical research databasescontaining Crohn's disease treatment information. A possible result ofthis search is the medical research database “PubMed.” Treatmentplanning module 104 next may search the PubMed database for “Crohn'sdisease” in order to determine specific treatment information as the atleast one health service option.

In one embodiment, treatment planning module 104 is a system thatfacilitates searching through content that is accessible thoughweb-based forms. Treatment planning module 104 may accept a querycontaining keywords, and then analyze the query to create a structuredquery. Treatment planning module 104 may then perform a lookup based onthe structured query in a database containing entries describing theweb-based forms. Next, treatment planning module 104 can rank formsreturned by the lookup, and use the rankings and associated databaseentries to facilitate a search through content that is accessiblethrough the forms. Such a federated search system is described in UnitedStates patent publication 20060230033, incorporated herein by reference.The federated search paradigm was created and is evolving in response tothe vast number of online databases and other web resources that nowpopulate what is known as the deep web, or the invisible Web. Withtraditional search engines such as Google, only sources that have beenindexed by the search engine's crawler technology can be searched,retrieved, and accessed. The large volume of documents that compose thedeep Web are not open to traditional Internet search engines because oflimitations in crawler technology. Federated searching resolves thisissue and makes these deep web documents searchable. Additionally,federated search can provide a singular search interface to numerousunderlying deep web data sources. This reduces the burden on the user140 by not requiring knowledge of each individual search interface oreven knowledge of the existence of the individual data sources beingsearched.

In one embodiment, as shown in FIG. 20, federated searching consists of(1) transforming a query and broadcasting it to a group of disparatedatabases or other web resources 2002, with the appropriate syntax; (2)merging the results collected from the databases (e.g., data 2010through data 2018); (3) presenting them in a succinct and unified formatwith minimal duplication perhaps via index 2020, index 2022, and index2024, and/or via an aggregator 2030; and (4) providing a means,performed either automatically or by the user 140, to sort the mergedresult set. Such federated searching may be carried out by, for example,Deep Web search unit 216.

Federated search portals can search public access bibliographicdatabases, public access Web-based library catalogues (OPACs), Web-basedsearch engines like Google and/or open-access, government-operated orcorporate data collections. These individual information sources sendback to the portal's interface a list of results from the search query.The user 140 can review this hit list. Some portals will merely screenscrape the actual database results and not directly allow a user 140 toenter the information source's application. More sophisticated ones cande-dupe the results list by merging and removing duplicates. Federatedsearches can improve the accuracy and relevance of individual searchesas well as reduce the amount of time required to search for resources.They are inherently as current as the individual information sources,because they are searched in real time.

FIG. 21 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 21 illustrates example embodiments in which anupdating operation 2100 is included as an additional operation.

Operation 2100 depicts updating the at least one health service option.For example, device 102, treatment planning module 104, and/or Web 2.0content delivery unit may update the at least one health service option.In one embodiment, treatment planning module 104 may determine anupdated health service option after, for example, a period of time haselapsed, so as to keep the health service option up-to-date. Forexample, where a standard of care is subject to revision by medicalauthorities, updating a set of health service options is useful in termsof presenting options that reflect the best care possible for anindividual. Updating health service options also allows for changes inproviders of health services, for example when providers move, changepractice areas, or leave a practice area. In one embodiment, Web 2.0content delivery unit 218 may mediate the updating function.

FIG. 22 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 22 illustrates example embodiments in which theproviding operation 330 may include at least one additional operation.Additional operations may include operation 2200, 2202, and/or operation2204.

Operation 2200 depicts providing an auction system for procurement ofthe desired health service option by the individual. For example, device102, health care services matching unit 120, and/or auction unit 226 mayprovide an auction system for procurement of the desired health serviceoption by the individual. In one embodiment, auction unit 226 may matchan individual's chosen health-related service with a service provider160 via a traditional auction. In one example, auction unit 226 mayaccept a health service option and a zip code, for example “obstetrics”and the 10021 zip code. Auction unit 226 can then access serviceprovider database 222 to generate a list of obstetrics care providers inthe 10021 zip code, including physicians 264, hospitals 266, and/ornontraditional service providers such as midwives or birth doulas.Auction unit 226 can then solicit bids from these providers in order torank them by any of a number of criteria, including cost per unitservice, cost per unit time, availability, location, or the like. Thesecriteria may be defined by user 140 and accessed by, for example,auction unit 226 from user preference database 230. Such an auction mayrun for a defined time period and/or be limited to a defined number ofservice providers 160.

In one embodiment, appropriate service providers 160 may include thosesatisfying one or more user preferences, and appropriate serviceproviders may be found, for example, via a federated search carried outby Deep Web search unit 232.

One example of a health care services auction is the model ofZorgVeiling's Care Auction in the Netherlands, which is run through asingle web 2.0 application. This is a healthcare purchasing process thatuses a dashboard solution for wholesale healthcare purchasers only,including insurance companies. Accordingly, Web 2.0 matching unit 234may provide an auction system for procurement of the desired healthservice option by the individual.

An auction may include variations on the basic auction form, includingtime limits, minimum or maximum limits on bid prices, and special rulesfor determining the winning bidder(s) and sale price(s). Participants inan auction may or may not know the identities or actions of otherparticipants.

Operation 2202 depicts providing a reverse auction system forprocurement of the desired health service option. For example, device102, health care services matching unit 120, and/or auction unit 226 mayprovide a reverse auction system for procurement of the desired healthservice option. In one embodiment, auction unit 226 may match take bidsfrom service providers 160 to drive down the cost of the health serviceoption. A reverse auction, also called a procurement auction, e-auction,sourcing event, e-sourcing, or eRA, is a tool commonly used inindustrial business-to-business procurement. It is a type of auction inwhich the role of the buyer and seller are reversed, with the primaryobjective to drive purchase prices downward. In an ordinary auction(also known as a forward auction), buyers compete to obtain a good orservice. In a reverse auction, sellers compete to obtain business.

In one embodiment of a reverse auction, a user 140 may contract with amarket maker to help make the necessary preparations to conduct thereverse auction. This may include finding service providers 160,training new and incumbent service providers 160, organizing theauction, managing the auction event, and providing auction data to user140 to facilitate decision making. In one embodiment, a market maker, onbehalf of the user 140, issues a request for quotation (RFQ) to purchasea particular health service option or group of options (called a “lot”).At the designated day and time, several service providers 160 tog on tothe auction site and input several quotes over a 30-90 minute period.These quotes reflect the prices at which they are willing to supply therequested health service option.

In one embodiment, quoting performed in real-time via the Internetresults in dynamic bidding. This helps achieve rapid downward pricepressure that is not normally attainable using traditional static3-quote paper-based bidding processes. The prices that a user 140 mayobtain in the reverse auction reflect the market which is created at themoment in time when the auction is held. The user 140 may award acontract to the service provider 160 who bid the lowest price. Or, auser 140 could award a contract to a service provider 160 who bid higherprices depending upon the preferences of user 140, e.g., specific needswith regards to quality, lead-time, capacity, or other value-addingcapabilities.

The use of optimization software has become popular to help users 140determine which service provider 160 to choose. Such optimizationsoftware may include relevant user 140 and service provider 160 businessdata, including preferences and/or constraints.

Operation 2204 depicts providing at least one of a no-bid auctionsystem, an English auction system, a proxy bidding system, a Dutchauction system, a buyout auction, or a sealed first-price auction. Forexample, device 102, health care services matching unit 120, and/orauction unit 226 may provide at least one of a no-bid auction system, anEnglish auction system, a proxy bidding system, a Dutch auction system,a buyout auction, or a sealed first-price auction. In one embodiment,auction unit 226 may provide a proxy bidding system wherein serviceproviders 160 may submit bids to an insurance company as proxy holderbidders in a reverse auction for a health service option. In oneembodiment, a service provider 160 may tell an auctioneer the absoluteminimum fee for a service that they are willing to accept from a user140, as a bid for providing a desired health service option. Anauctioneer such as a dedicated web site or an insurance company may thenplace a bid on behalf of the service provider 160. The auctioneer orinsurance company then continues to bid on behalf of the serviceprovider 160, whenever he or she is outbid by another service provider'sbid, until the minimum is exceeded or the auction is won.

A no-bid auction system is one in which a service provider 160 lists aprice for a given health service option subject to election or not by auser 140, for example. One example of a no-bid auction is the“buy-it-now” feature of eBay, in which an item may be purchased for anadvertised price as an alternative to a traditional auction withcompeting bids. In one embodiment, a no-bid auction may be mediated bysole source selection unit 224. Sole source selection unit 224 can finda single best service provider 160 for an interested user 160 based onan accepted indication of at least one health-related status and/or userpreference data, for example from user preference database 230.

In one embodiment of an English auction, also known as an open ascendingprice auction, users 140 may bid openly against one another, with eachsubsequent bid higher than the previous bid. An auctioneer may announceprices, bidders may call out their bids themselves (or have a proxy callout a bid on their behalf), or bids may be submitted electronically withthe highest current bid publicly displayed. In some cases a maximum bidmight be left with the auctioneer, who may bid on behalf of the bidderaccording to the bidder's instructions. The auction ends when noparticipant is willing to bid further, at which point the highest bidderpays their bid. Alternatively, if a service provider 160 has set aminimum sale price in advance (the reserve price) and the final bid doesnot reach that price then the contract for a desired health serviceoption remains unsold. In some embodiments, the auctioneer may set aminimum amount by which the next bid must exceed the current highestbid. The most significant distinguishing factor of this auction type isthat the current highest bid is always available to potential bidders.At least two bidders are required.

Proxy bidding is an implementation of an English second-price auction,in which the winning bidder pays the price of the second-highest bidplus a defined increment. It differs from a Vickrey auction in that bidsare not sealed; the “current highest bid” (defined as second-highest bidplus bid increment) is always displayed. In a standard first-priceEnglish auction the winner pays the amount of their bid, regardless ofcompetitors' bids, and it is therefore desirable to place a bid thatexceeds the current highest bid by the smallest possible increment.Under proxy bidding, however, the price paid is determined only bycompetitors' bids and not by the amount of the new bid, and so there isno economically rational incentive to place a bid below the amount oneis willing to pay, or to place multiple increasing bids. An economicallyrational bidder will therefore bid the maximum amount they are willingto pay on their first bid, and never raise their bid.

In a Dutch auction, also known as an open descending price auction, theauctioneer begins with a high asking price which is lowered until someparticipant is willing to accept the auctioneer's price. The winningparticipant pays the last announced price. The term “Dutch auction” isalso sometimes used to describe online auctions where several identicalgoods are sold simultaneously to an equal number of high bidders.

A buyout auction is an auction with a set price (“buyout price”) thatany bidder can accept at any time during the auction, therebyimmediately ending the auction and winning the service contract. If nobidder elects the buyout option before the end of bidding the highestbidder wins and pays their bid. Buyout options can be either temporaryor permanent. In a temporary buyout auction the option to buy out theauction is no longer available after the first bid is placed. In apermanent buyout auction the buyout option remains available throughoutthe entire auction until the close of bidding. The buyout price caneither remain the same throughout the entire auction, or vary throughoutaccording to preset rules or at the discretion of, for example, serviceprovider 160.

In a sealed first-price auction, also known as a first-price sealed-bidauction, all bidders simultaneously submit sealed bids so that no bidderknows the bid of any other participant. The highest bidder pays theprice they submitted. This type of auction is distinct from the Englishauction, in that bidders can only submit one bid each. Furthermore, asbidders cannot see the bids of other participants they cannot adjusttheir own bids accordingly.

FIG. 23 illustrates alternative embodiments of the example operationalflow 300 of FIG. 3. FIG. 23 illustrates example embodiments in which theproviding operation 330 may include at least one additional operation.Additional operations may include operation 2300, 2302, 2304, 2306,2308, and/or operation 2310.

Operation 2300 depicts providing a matching system weighted toward rapidprocurement of the desired health service option. For example, device102, health care services matching unit 120, and/or auction unit 226 mayprovide a matching system weighted toward rapid procurement of thedesired health service option. In one embodiment, health care servicesmatching unit 120 may accept “canaloplasty” and “cataract surgery” as atleast one indication of a health-related status. User preference data212 may also be accepted such as “immediate availability” and“Johnstown, Pa.”. Health care services matching unit 120 may thendetermine a list of eye surgeons capable of addressing glaucoma andcataract issues for the individual/user 140. In this example, an auctionunit 226 weighted toward rapid procurement of the desired health serviceoption may provide an internet auction among determined physicians 264such that the auction is scheduled to end within, for example, threebusiness days instead of a standard five business days or seven days,for example. In an alternative example, health care services matchingunit 120 and/or sole source selection unit 224 may expedite procurementof a desired health service option by providing a no-bid auction or byproviding a single best match for an available service provider 160.

Operation 2302 depicts providing a matching system weighted towardprocurement of one or more low-cost desired health service options. Forexample, device 102, health care services matching unit 120, auctionunit 226, and/or arbitrage unit 228 may provide a matching systemweighted toward procurement of one or more low-cost desired healthservice options. In one embodiment, arbitrage unit 228 may takeadvantage of a price differential between two or more markets, strikinga combination of matching deals that capitalize upon the imbalance, theprofit and/or savings being the difference between the market prices.For example, arbitrage unit 228 may accept bids from, for example,hospitals 266 and health maintenance organizations 268 in variousgeographic areas or markets, compare the bids, and select a match on thebasis of the best cost differential and/or lowest cost for the user140/individual. In one embodiment, arbitrage unit 228 may take intoaccount travel distance in selecting a low-cost health care servicesprovider 162. For example, while health care costs may vary betweenlarge and small markets, a resident of a large market may not want tochoose a low-cost health care services provider 162 in a small marketfor reasons of quality and/or convenience. Therefore, whereas arbitrageunit 228 may identify a spread between bid prices for identical servicesin each market, arbitrage unit 228 may factor in such factors asdistance, number of procedures performed historically, staff expertise,user preference data from user preference database 230, or the like inproviding a matching system for procurement of a desired health serviceoption. It should be understood that performing the actual matchingfunction for a user 140/individual is one way of providing a matchingsystem for procurement of a desired health service option.

Operation 2304 depicts providing a matching system weighted towardprocurement of a high-quality desired health service option. Forexample, device 102, health care services matching unit 120, sole sourceselection unit 224, auction unit 226, and/or arbitrage unit 228 mayprovide a matching system weighted toward procurement of a high-qualitydesired health service option. In one embodiment, sole source selectionunit 224 may, based on a determined at least one health service optionfor the individual based on the indication of at least onehealth-related status, match user 140 with the highest-quality healthservice option available. For example, where treatment planning modulehas determined neurosurgery as a health service option for glioblastomamultiforme, sole source selection unit 224 may match the top-ranked MayoClinic in Rochester, Minn. with an individual's personal assistant asthe user 140.

Operation 2306 depicts providing a matching system weighted towardprocurement of a locally-available desired health service option. Forexample, device 102, health care services matching unit 120, sole sourceselection unit 224, auction unit 226, and/or arbitrage unit 228 mayprovide a matching system weighted toward procurement of alocally-available desired health service option. In one embodiment,auction unit 226 may initiate a reverse auction in which health careservice providers 162 bid on a given desired health services option. Inthis example, auction unit 226 may filter a list of physicians, forexample, as determined by treatment planning module 104 to include onlythose within a local area. Alternatively, auction unit 226 may favorbids from local service providers 160 during an auction to match user140 with a service provider 160, perhaps based on a preference from userpreference database 230.

Operation 2308 depicts providing a matching system weighted towardprocurement of a geographically-specified desired health service option.For example, device 102, health care services matching unit 120, solesource selection unit 224, auction unit 226, and/or arbitrage unit 228may provide a matching system weighted toward procurement of ageographically-specified desired health service option. In oneembodiment, auction unit 226 may initiate a reverse auction in whichhealth care service providers 162 in a foreign country bid on a givendesired health services option. In this example, auction unit 226 mayfilter a list of service providers 162, for example, as determined bytreatment planning module 104 to include only those within a certaingeographic area, for example, “India.” Accordingly this system can beused to match a user 140 and/or individual in one country with a serviceprovider 160 in another country or region. One example of this kind ofspecific geographic matching is health care tourism, also known asmedical travel, health tourism, or global healthcare, in which anindividual in need of health care travels to a foreign country for alower cost service, a stimulating travel experience, and/or specialisthealth care, or the like. Alternatively, auction unit 226 may favor bidsfrom service providers 160 in a specified geographic region during anauction to match user 140 with a service provider 160, perhaps based ona preference from user preference database 230.

Operation 2310 depicts providing a web 2.0 matching system forprocurement of a desired health service option. For example, device 102,health care services matching unit 120, sole source selection unit 224,auction unit 226, and/or arbitrage unit 228 may provide a web 2.0matching system for procurement of a desired health service option. Inone embodiment, auction unit 226 may conduct an internet auction tomatch a user 140 with a service provider 160 to provide a desired healthservices option, such as open heart surgery. In this example, auctionprogress may be monitored by an auctioneer and/or user 140 by way of aweb 2.0 application, such as that used by the ZorgVeiling Care Auctionsystem discussed above. This system manages results with IBM's DashboardSolutions for WebSphere Portal, in which interactive portlets allow forfiltering of data, and big-picture monitoring of bidding progress andresults. Such web 2.0 systems provide security in terms of SSLcertificates, database encryption, HTTP redirect functionality,firewalls, secure cybercenters, and the like. These systems can also beimplemented using readily available hardware from a single supplier,e.g., Microsoft and IBM. Microsoft products provide SQL Server-orientedclient environments complete with OLAP viewing, dashboarding, anddynamic data visualization capabilities. Common features of a web 2.0application include service-oriented architecture and integration withweb services, including Web APIs that can be accessed over a network,such as the Internet, and executed on a remote system hosting therequested services.

FIG. 24 illustrates an operational flow 2400 representing exampleoperations related to health services planning and matching. In FIG.2400 discussion and explanation may be provided with respect to theabove-described system environments of FIGS. 1-2, and/or with respect toother examples and contexts. However, it should be understood that theoperational flow may be executed in a number of other environments andcontexts including that of FIG. 20, and/or in modified versions of FIGS.1-2. Also, although the various operational flows are presented in thesequence(s) illustrated, it should be understood that the variousoperations may be performed in other orders than those which areillustrated, or may be performed concurrently.

After a start operation, operation 2410 depicts accepting an indicationof at least one health-related status of an individual. For example,device 102 and/or treatment planning module 104 may accept an indicationof at least one health-related status of an individual. In oneembodiment, treatment planning module 104 may accept from user 140“glaucoma treatment” as an indication of at least one health-relatedstatus of an individual. Other kinds of health-related statusindications may be accepted as discussed above, including a query fortesting, a query for achievement of a personal goal, and the like.

Operation 2420 depicts presenting one or more health service options forthe individual based on the indication of at least one health-relatedstatus. For example, device 102 and/or treatment planning module 104 maypresent one or more health service options for the individual based onthe indication of at least one health-related status. As discussedabove, in one embodiment, treatment planning module may access, forexample, research data, standard of care data, historical experiencedata, user preference data, and/or service provider data in determiningfor presentation one or more health service options for the individualbased on the indication of at least one health-related status. Forexample, accepting “glaucoma treatment” may initiate a search of anexperience database 208, including for example, the Dallas GlaucomaPatient Database created by the Southwestern Medical Center, whichfollows all glaucoma patients treated at University of TexasSouthwestern, in order to establish long-term trends and collectdemographic data about people with glaucoma. In this example, a searchof the Dallas Glaucoma Patient Database by treatment planning module 104may result in the presentation of several experimental therapies, amongother standard and/or approved therapies. Treatment planning module 104may also present a list of qualified service providers 160, such ashospitals specializing in glaucoma treatment, insurers that covervarious glaucoma treatments, and/or government agencies such as Medicarethat pay for various glaucoma treatments.

Operation 2430 depicts accepting at least one desired health serviceoption from among the one or more health service options. For example,device 102 and/or health care services matching unit 120 may accept atleast one desired health service option from among the one or morehealth service options. In one embodiment, health care services matchingunit 120 may accept from user 140 a selected glaucoma treatment optionsuch as “trabeculectomy” from among a set of presented glaucomatreatments. User 140 may also provide user preference data 212 such as ageographical location and/or a physician preference, such as “inpractice for 10-15 years.”

Operation 2440 depicts providing a matching system for procurement ofthe at least one desired health service option. For example, device 102,health care services matching unit 120, sole source selection unit 224,auction unit 226, and/or arbitrage unit 228 may provide a matchingsystem for procurement of the at least one desired health serviceoption. In one embodiment, auction unit 226 can initiate a reverseauction among local eye surgeons having 10-15 years of practiceexperience. Such an auction may match user 140 with an eye surgeon ableto perform a trabeculectomy for user 140 at a competitive price relativeto other eye surgeons having similar experience in the specifiedgeographic area.

FIG. 25 illustrates a partial view of an example article of manufacture2500 that includes a computer program 2504 for executing a computerprocess on a computing device. An embodiment of the example article ofmanufacture 2500 is provided using a signal bearing medium 2502, and mayinclude one or more instructions for accepting an indication of at leastone health-related status of an individual; determining at least onehealth service option for the individual based on the indication of atleast one health-related status; and providing a matching system forprocurement of a desired health service option. The one or moreinstructions may be, for example, computer executable and/orlogic-implemented instructions. In one implementation, thesignal-bearing medium 2502 may include a computer-readable medium 2506.In one implementation, the signal bearing medium 2502 may include arecordable medium 2508. In one implementation, the signal bearing medium2502 may include a communications medium 2510.

FIG. 26 illustrates an example system 2600 in which embodiments may beimplemented. The system 2600 includes a computing system environment.The system 2600 also illustrates a user 140 using a device 2604, whichis optionally shown as being in communication with a computing device2602 by way of an optional coupling 2606. The optional coupling 2606 mayrepresent a local, wide-area, or peer-to-peer network, or may representa bus that is internal to a computing device (e.g., in exampleembodiments in which the computing device 2602 is contained in whole orin part within the device 2604). A storage medium 2608 may be anycomputer storage media. In one embodiment, the computing device 2602 mayinclude a virtual machine operating within another computing device. Inan alternative embodiment, the computing device 2602 may include avirtual machine operating within a program running on a remote server.

The computing device 2602 includes computer-executable instructions 2610that when executed on the computing device 2602 cause the computingdevice 2602 to (a) accept an indication of at least one health-relatedstatus of an individual; (b) determine at least one health serviceoption for the individual based on the indication of at least onehealth-related status; and (c) provide a matching system for procurementof a desired health service option. As referenced above and as shown inFIG. 26, in some examples, the computing device 2602 may optionally becontained in whole or in part within the device 2604.

In FIG. 26, then, the system 2600 includes at least one computing device(e.g., 2602 and/or 2604). The computer-executable instructions 2610 maybe executed on one or more of the at least one computing device. Forexample, the computing device 2602 may implement the computer-executableinstructions 2610 and output a result to (and/or receive data from) thecomputing device 2604. Since the computing device 2602 may be wholly orpartially contained within the computing device 2604, the device 2604also may be said to execute some or all of the computer-executableinstructions 2610, in order to be caused to perform or implement, forexample, various ones of the techniques described herein, or othertechniques.

The device 2604 may include, for example, a portable computing device,workstation, or desktop computing device. In another example embodiment,the computing device 2602 is operable to communicate with the device2604 associated with the user 140 to receive information about the inputfrom the user 140 for performing data access and data processing, andprovide a matching system for procurement of a desired health serviceoption.

Although user 140 is shown/described herein as a single illustratedfigure, those skilled in the art will appreciate that user 140 may berepresentative of a human user, a robotic user (e.g., computationalentity), and/or substantially any combination thereof (e.g., a user maybe assisted by one or more robotic agents) unless context dictatesotherwise. Those skilled in the art will appreciate that, in general,the same may be said of “sender” and/or other entity-oriented terms assuch terms are used herein unless context dictates otherwise.

FIG. 27 illustrates an example system 100 in which embodiments may beimplemented. The system 100 includes a device 102. The device 102 maycontain, for example, treatment planning module 104, health careservices matching unit 120, accepter module 2902, choice presentermodule 2904, and/or output presenter module 2906. The device 102 maycommunicate over a network or directly with remote treatment planningmodule 150 and/or remote health care services matching unit 152. User140 may interact directly or through a user interface with device 102.Device 102 may communicate with service provider 160, which may includehealth care services provider 162 and/or payer 170. Device 102 mayaccept user input to provide one or more health services options, forexample via treatment planning module 104. Device 102 may accept aselected health service option and match it with an appropriate serviceprovider via, for example health care services matching unit 120.Service provider 160 may include, for example, health care servicesprovider 162 and/or payer 170.

In FIG. 27, health care services matching unit 120 may solicit a healthcare services option from a service provider 160. Such a solicitationmay include an invitation to bid in an auction, a reverse auction, orthe like. Results of such a solicitation may include matching a doctorcapable of providing a chosen health care services option with the user140 in need of the chosen health care services option, perhaps accordingto one or more preferences provided by the user 140.

In FIG. 27, the device 102 is illustrated as possibly being includedwithin a system 2700. Of course, virtually any kind of computing devicemay be used to implement the special purpose treatment planning module104, special purpose health care services matching unit 120, specialpurpose accepter module 2902, special purpose choice presenter module2904, and/or special purpose output presenter module 2906, such as, forexample, a workstation, a desktop computer, a networked computer, aserver, a collection of servers and/or databases, a virtual machinerunning inside a computing device, a mobile computing device, or atablet PC.

Additionally, not all of the treatment planning module 104, health careservices matching unit 120, accepter module 2902, choice presentermodule 2904, and/or output presenter module 2906 need be implemented ona single computing device. For example, the treatment planning module104, health care services matching unit 120, accepter module 2902,choice presenter module 2904, and/or output presenter module 2906 may beimplemented and/or operable on a remote computer, while a user interfaceand/or local instance of the treatment planning module 104, health careservices matching unit 120, accepter module 2902, choice presentermodule 2904, and/or output presenter module 2906 are implemented and/oroccur on a local computer. Further, aspects of the treatment planningmodule 104, health care services matching unit 120, accepter module2902, choice presenter module 2904, and/or output presenter module 2906may be implemented in different combinations and implementations thanthat shown in FIG. 27. For example, functionality of a user interfacemay be incorporated into the treatment planning module 104, health careservices matching unit 120, accepter module 2902, choice presentermodule 2904, and/or output presenter module 2906. The treatment planningmodule 104, health care services matching unit 120, accepter module2902, choice presenter module 2904, and/or output presenter module 2906may perform simple data relay functions and/or complex data analysis,including, for example, fuzzy logic and/or traditional logic steps.Further, many methods of searching health care and/or service providerdatabases known in the art may be used, including, for example,unsupervised pattern discovery methods, coincidence detection methods,and/or entity relationship modeling. In some embodiments, the treatmentplanning module 104, health care services matching unit 120, acceptermodule 2902, choice presenter module 2904, and/or output presentermodule 2906 may process user input data according to health care optionsand/or service provider information available as updates through anetwork.

Treatment planning module 104, health care services matching unit 120,accepter module 2902, choice presenter module 2904, and/or outputpresenter module 2906 may access data stored in virtually any type ofmemory that is able to store and/or provide access to information in,for example, a one-to-many, many-to-one, and/or many-to-manyrelationship. Such a memory may include, for example, a relationaldatabase and/or an object-oriented database, examples of which areprovided in more detail herein.

FIG. 28 further illustrates system 2700 including including acceptermodule 2902, choice presenter module 2904, and/or output presentermodule 2906. Accepter module 2902 may include user input accepter module2908, medical diagnosis accepter module 2918, symptom accepter module2922, condition accepter module 2930, and/or preference accepter module2938. User input accepter module 2908 may include health care provideraccepter module 2910, patient input accepter module 2912, organizationinput accepter module 2914, and/or insurer input accepter module 2916.Medical diagnosis accepter module 2918 may include diagnosis acceptermodule 2920. Symptom accepter module 2922 may include complaint acceptermodule 2924 and/or symptom profile accepter module 2926. Symptom profileaccepter module 2926 may include symptom characteristic accepter module2928. Condition accepter module 2930 may include goal accepter module2932. Goal accepter module 2932 may include goal characteristic acceptermodule 2934 and/or goal characteristic accepter module 2936. Preferenceaccepter module 2938 may include option preference accepter module 2940,convenience accepter module 2942, and/or tolerance accepter module 2944.

FIG. 29 further illustrates system 2700 including accepter module 2902,choice presenter module 2904, and/or output presenter module 2906.Choice presenter module 2904 may include party presenter module 2946,interface presenter module 2954, and/or distribution presenter module2962. Party presenter module 2946 may include individual presentermodule 2948, physician presenter module 2950, and/or insurance presentermodule 2952. Interface presenter module 2954 may include bar presentermodule 2956. Bar presenter module 2956 may include slider bar presentermodule 2958 and/or corresponding presenter module 2960.

FIG. 30 further illustrates system 2700 including accepter module 2902,choice presenter module 2904, and/or output presenter module 2906.Output presenter module 2906 may include third party presenter module2964, output device presenter module 2972, and/or selective presentermodule 2978. Third party presenter module 2964 may include health careprovider presenter module 2966, insurance provider presenter module2968, and/or anonymous presenter module 2970. Output device presentermodule 2972 may include user interface presenter module 2974 and/ormobile presenter module 2976.

FIG. 31 illustrates an operational flow 3100 representing exampleoperations related to accepting user input relating to a plurality ofhealth service option selection factors, presenting a plurality ofchoices for at least one of the health service option selection factors,and presenting at least one outcome output based on a selection of atleast one of the plurality of choices for at least one of the healthservice option selection factors. In FIG. 31 and in following figuresthat include various examples of operational flows, discussion andexplanation may be provided with respect to the above-described examplesof FIGS. 27 through 30, and/or with respect to other examples andcontexts. However, it should be understood that the operational flowsmay be executed in a number of other environments and contexts, and/orin modified versions of FIGS. 27 through 30. Also, although the variousoperational flows are presented in the sequence(s) illustrated, itshould be understood that the various operations may be performed inother orders than those which are illustrated, or may be performedconcurrently.

After a start operation, the operational flow 3100 moves to an operation3110. Operation 3110 depicts to accepting user input relating to aplurality of health service option selection factors. For example, asshown in FIGS. 27 through 30, accepter module 2902 may accept user inputrelating to a plurality of health service option selection factors. Inan embodiment, accepter module 2902 can accept, for example, anindividual's preference regarding a health service option, such astolerance for at least one side effect. The user 140 may be a patientnewly informed of a medical condition, an individual experiencing one ormore symptoms, a health care practitioner investigating health careservices options for a patient in their care, a health care maintenanceorganization planning for the care of a patient, or the like. Anindication of at least one health-related status of an individual mayalso include a desire for cosmetic enhancement, pregnancy, orimprovement in athletic performance. In some instances, accepter module2902 may include a computer processor.

Then, operation 3120 depicts presenting a plurality of choices for atleast one of the health service option selection factors. For example,as shown in FIGS. 27 through 30, choice presenter module 2904 maypresent a plurality of choices for at least one of the health serviceoption selection factors. In an embodiment, choice presenter module 2904can present multiple choices for health service option selection factorsincluding potential embarrassment, distance to the health service optionprovider, and health service option cost. This presentation may allowthe individual and/or user to input a preference for each of thefactors. In some instances, choice presenter module 2904 may include acomputer processor.

Then, operation 3130 depicts presenting at least one outcome outputbased on a selection of at least one of the plurality of choices for atleast one of the health service option selection factors. For example,as shown in FIGS. 27 through 30, output presenter module 2906 maypresent at least one outcome output based on a selection of at least oneof the plurality of choices for at least one of the health serviceoption selection factors. In an embodiment, output presenter module 2906can present a recommended health service option (e.g., a certainphysician, a medication, and/or a certain procedure) based on theindividual's preferences for the health service option. In someinstances, output presenter module 2906 may include a computerprocessor.

FIG. 32 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 32 illustrates example embodiments whereoperation 3110 may include at least one additional operation. Additionaloperations may include operation 3202, operation 3204, and/or operation3206.

Operation 3202 illustrates to accepting user input including anindication of at least one health-related status of an individual. Forexample, as shown in FIGS. 27 through 30, device 102 and/or user inputaccepter module 2908 may accept user input including an indication of atleast one health-related status of an individual. For example, userinput accepter module 2908 may accept from user 140 a symptom, a diseasename, a diagnosis name, a health service procedure name, or the like.Virtually any health-related term may be accepted; each health-relatedterm will serve as an indication of at least one health-related statusof the individual. For example, accepting user input in the form of“facelift” may be an indication of a desire for cosmetic surgery. Thismay be used to determine health care services options for faceliftservices including treatment centers. Specific options for serviceproviders including plastic surgeons, hospitals, plastic surgeryresorts, or the like may also be determined. Options other than plasticsurgery may also be determined based on this user input, such as peels,dermabrasion, or the like. Some examples of user input may includepatient input, health maintenance organization input, insurer input, aswell as third party input, such as parent input and/or spouse input. Insome instances, user input accepter module 2908 may include a computerprocessor.

Further, operation 3204 illustrates to accepting health care providerinput including an indication of at least one health-related status ofan individual. For example, as shown in FIGS. 27 through 30, health careprovider accepter module 2910 may accept user input including anindication of at least one health-related status of an individual. Forexample, health care provider accepter module 2910 may accept from user140 a symptom, a disease name, a diagnosis name, a health serviceprocedure name, or the like. Virtually any health-related term may beaccepted; each health-related term will serve as an indication of atleast one health-related status of the individual. For example,accepting user input in the form of “facelift” may be an indication of adesire for cosmetic surgery. This may be used to determine health careservices options for facelift services including treatment centers.Specific options for service providers including plastic surgeons,hospitals, plastic surgery resorts, or the like may also be determined.Options other than plastic surgery may also be determined based on thisuser input, such as peels, dermabrasion, or the like. Some examples ofuser input may include patient input, health maintenance organizationinput, insurer input, as well as third party input, such as parent inputand/or spouse input. In some instances, health care provider acceptermodule 2910 may include a computer processor.

Further, operation 3206 illustrates to accepting patient input includingan indication of at least one health-related status of the patient. Forexample, as shown in FIGS. 27 through 30, device 102 and/or patientinput accepter module 2912 may accept patient input including anindication of at least one health-related status of the patient. Forexample, a diabetes patient may input “type II diabetes” when lookingfor an endocrinologist to provide care for her condition. In someembodiments, a set of symptoms may be entered by a patient, and anoptional medical expert system function in the patient input acceptermodule 2912 may be accessed to generate a list of possible diagnoses forthe symptom set, and/or health care providers capable of providing anappropriate service. For example, if a patient enters skin rash, fever,and neck stiffness, device 102 and/or patient input accepter module 2912may list meningitis as one possible diagnosis for the patient. Such apatient may be merely experiencing symptoms and not yet under the careof a health care provider. In some instances, patient input acceptermodule 2912 may include a computer processor.

FIG. 33 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 33 illustrates example embodiments whereoperation 3110 may include at least one additional operation. Additionaloperations may include operation 3302, and/or operation 3304.

Further, operation 3302 illustrates to accepting health maintenanceorganization input including an indication of at least onehealth-related status of a patient. For example, as shown in FIGS. 27through 30, device 102 and/or organization input accepter module 2914may accept health maintenance organization input including an indicationof at least one health-related status of a patient. For example, ahealth maintenance organization may input “carpal tunnel syndrome” tofind physical therapists providing services for patients with thiscondition. If the health care maintenance organization then chooses aparticular determined health service option, such as stretchingexercises and application of a wrist brace, a geographical preferencemay be entered such that the device 102 and/or organization inputaccepter module 2914 can find one or more appropriate health careproviders of carpal tunnel therapy in the desired geographic area. Insome instances, organization input accepter module 2914 may include acomputer processor.

Further, operation 3304 illustrates to accepting insurer input includingan indication of at least one health-related status of an insuredindividual. For example, as shown in FIGS. 27 through 30, device 102and/or insurer input accepter module 2916 may accept insurer inputincluding an indication of at least one health-related status of aninsured individual. For example, an insurer may input “congestive heartfailure” to identify risk factors for congestive heart failure amongindividuals in a general population or a subpopulation. In oneembodiment, insurer input accepter module 2916 may accept and/ordetermine that coronary artery disease, smoking, diabetes, hypertension,and high cholesterol are significant risk factors for congestive heartfailure among individuals aged 55 to 85 in the United States.Stress-test monitoring of coronary artery disease may be identified asone of the options for congestive heart failure prevention, and uponselection of this option by insurer 272, local cardiologists may beinvited to provide competitive rates for providing stress tests toinsured individuals. In some instances, insurer input accepter module2916 may include a computer processor.

FIG. 34 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 34 illustrates example embodiments whereoperation 3110 may include at least one additional operation. Additionaloperations may include operation 3402, and/or operation 3404.

Operation 3402 illustrates to accepting an indication of at least onemedical diagnosis. For example, as shown in FIGS. 27 through 30, device102 and/or medical diagnosis accepter module 2918 may accept anindication of at least one medical diagnosis. For example, an individualmay input “glaucoma” to determine treatment steps to take once adiagnosis is received. Often a physician will recommend a course oftreatment upon making a diagnosis, but a patient may also want to knowabout alternative treatments, including alternatives to Western medicaltreatment. In this example of a glaucoma diagnosis, medical diagnosisaccepter module 2918 may accept and/or determine medical treatmentoptions including beta blockers, prostaglandin analogs, alpha-adrenergicagonists, carbonic anhydrase inhibitors, as well as alternativetreatment options including aerobic exercise, marijuana therapy and/oracupuncture therapy. In some instances, medical diagnosis acceptermodule 2918 may include a computer processor.

Further, operation 3404 illustrates to accepting an indication of atleast one of an oncologic diagnosis, a cardiac diagnosis, a neurologicdiagnosis, a pulmonary diagnosis, a hematologic diagnosis, an infectiousdiagnosis, a vascular diagnosis, a gastrointestinal diagnosis, anhepatobiliary diagnosis, a renal diagnosis, a metabolic diagnosis, agenetic diagnosis, a musculoskeletal diagnosis, a urologic diagnosis, agynecologic diagnosis, an obstetric diagnosis, a rheumatologicdiagnosis, an otolaryngologic diagnosis, or a dermatologic diagnosis.For example, as shown in FIGS. 27 through 30, device 102 and/ordiagnosis accepter module 2920 may accept an indication of at least oneof an oncologic diagnosis, a cardiac diagnosis, a neurologic diagnosis,a pulmonary diagnosis, a hematologic diagnosis, an infectious diagnosis,a vascular diagnosis, a gastrointestinal diagnosis, an hepatobiliarydiagnosis, a renal diagnosis, a metabolic diagnosis, a geneticdiagnosis, a musculoskeletal diagnosis, a urologic diagnosis, agynecologic diagnosis, an obstetric diagnosis, a rheumatologicdiagnosis, an otolaryngologic diagnosis, or a dermatologic diagnosis.For example, a caretaker may input “Alzheimer's disease” as a neurologicdiagnosis to determine treatment steps to take once an Alzheimer'sdiagnosis is received. Often a person caring for an individual withAlzheimer's will not know what to do or where to turn for help in caringfor the affected individual. Inputting “Alzheimer's disease” into thediagnosis accepter module 2920, for example, may result in adetermination of treatment options including drug therapy, e.g.,including memantine, glantamine, rivastigmine, doenpezil, and/ortacrine; and/or non-pharmacological behavioral-management approachessuch as playing music of the person's choosing, one-on-one interaction,playing videotapes of family members, walking and light exercise, andpet therapy. In some instances, diagnosis accepter module 2920 mayinclude a computer processor.

FIG. 35 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 35 illustrates example embodiments whereoperation 3110 may include at least one additional operation. Additionaloperations may include operation 3502, and/or operation 3504.

Operation 3502 illustrates to accepting an indication of at least onesymptom. For example, as shown in FIGS. 27 through 30, device 102 and/orsymptom accepter module 2922 may accept an indication of at least onesymptom. In one embodiment, symptom accepter module 2922 may accept asymptom such as “decreased night vision.” Symptom accepter module 2922may then determine a set of testing and treatment steps. For example,one testing step may be to look at decreased night vision as a sideeffect of various medicines. Another testing step may include cataracttesting, such as a refraction test, a slitlamp exam, a contrastsensitivity test, a glare disability test, a potential acuity test, adilated fundus exam, or the like. Treatment options for cataracts mayalso be determined at this time. Alternatively, user 140 may opt todefer listing of treatment options until a diagnosis is obtained basedon the testing options presented. In this scenario, if the user 140discovers that she has cataracts, treatment options including surgerymay be determined and presented to user 140. In some instances, symptomaccepter module 2922 may include a computer processor.

Further, operation 3504 illustrates to accepting an indication of atleast one of pain, cardiac complaint, neurologic complaint, pulmonarycomplaint, hematologic complaint, infectious complaint, vascularcomplaint, gastrointestinal complaint, hepatobiliary complaint, renalcomplaint, metabolic complaint, musculoskeletal complaint, urologiccomplaint, gynecologic complaint, rheumatologic complaint,otolaryngologic complaint, or dermatologic complaint. For example, asshown in FIGS. 27 through 30, device 102 and/or complaint acceptermodule 2924 may accept an indication of at least one of pain, cardiaccomplaint, neurologic complaint, pulmonary complaint, hematologiccomplaint, infectious complaint, vascular complaint, gastrointestinalcomplaint, hepatobiliary complaint, renal complaint, metaboliccomplaint, musculoskeletal complaint, urologic complaint, gynecologiccomplaint, rheumatologic complaint, otolaryngologic complaint, ordermatologic complaint. In one embodiment, complaint accepter module2924 may accept “earache” as an otolaryngologic complaint. In thisexample, treatment planning module may determine an otoscope examinationto diagnose infection of the outer or middle ear (e.g., otitis externaor otitis media), and treatment steps including antibiotic ear drops inthe case of otitis externa, and/or oral antibiotics in the case ofotitis media. Upon selection of a desired determined examination and/ortreatment, health care services matching unit 120 may search a healthcare services provider database 222 for a list of those providers withexpertise in the ear/nose/throat specialty and with offices in thegeographic area near the user 140. The resulting subset of localear/nose/throat specialists may then be invited to bid on the cost ofservices for examination and/or treatment of user 140, thereby providinga matching system for procurement of the desired health service option.In some instances, complaint accepter module 2924 may include a computerprocessor.

FIG. 36 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 36 illustrates example embodiments whereoperation 3110 may include at least one additional operation. Additionaloperations may include operation 3602, and/or operation 3604.

Further, operation 3602 illustrates to accepting an indication of asymptom profile. For example, as shown in FIGS. 27 through 30, device102 and/or symptom profile accepter module 2926 may accept an indicationof a symptom profile. In one embodiment, symptom profile accepter module2926 may accept a constellation of symptoms that suggests a diagnosis,such as a set of typical symptoms of a known disease. See, e.g., U.S.patent publication 2008/0091086. For example, symptom profile acceptermodule 2926 may accept a set of one or more of the following symptoms:bull's-eye rash, fever, stiff neck, headache, body aches, fatigue, orredness and swelling in the joints. Based on such a constellation ofsymptoms, testing and/or treatment for Lyme disease may be determined.In some instances, symptom profile accepter module 2926 may include acomputer processor.

Further, operation 3604 illustrates to accepting an indication of atleast one of a symptom frequency, a symptom ranking, or a symptomseverity. For example, as shown in FIGS. 27 through 30, device 102and/or symptom characteristic accepter module 2928 may accept anindication of at least one of a symptom frequency, a symptom ranking, ora symptom frequency and severity. In one embodiment, symptomcharacteristic accepter module 2928 may accept an indication of asthmasymptom severity. The National Asthma Education Program, which producesthe U.S.-based asthma treatment guidelines, classifies asthma by itsseverity, a scheme commonly used by most health professionals. Thisapproach also guides asthma treatment. In some instances, symptomcharacteristic accepter module 2928 may include a computer processor.

Classification of asthma by severity is based on frequency and severityof asthma symptoms, along with peak flow readings. Levels are referredto as steps, as follows: Step 1: Mild Intermittent; at this level,asthma symptoms occur less than 2 times a week during waking hours andless than twice a month during the night. In between asthma attacks, nosymptoms occur at all, and the attacks themselves are generally brief,though their intensity can vary. Peak flow variability is less than 20percent. Step 2: Mild Persistent; at this level, asthma symptoms occurmore than twice a week, but not as often as daily. They may occasionallywake one up at night, but that happens less than 2 times a month. Asthmaattacks may interfere with activity temporarily. Peak flow tends to bebetween 20 and 30 percent. Step 3: Moderate Persistent; at this level,asthma begins to interfere more with daily living. Symptoms are seenevery single day, and use of a quick-relief inhaler daily may berequired. Asthma attacks occur at least twice a week and often interferewith activity. They may last for days at a time. Individuals may wake up1 or more times a week with symptoms. Peak flow rate varies by more than30 percent. Step 4: Severe Persistent; this is the most severe form ofasthma and at this level, symptoms are basically continuous. Activity isseverely limited and asthma attacks and night symptoms are frequent.Peak flow varies by more than 30 percent.

The National Asthma Education Program advocates a step-wise approach totreating asthma in adults and children older than age 5, based on thetypes of asthma severity described above. For instance, mildintermittent asthma is usually treated only with quick-relief medicines,while severe persistent asthma is treated with one or more dailycontroller medicines and frequent use of quick-relief medicines.Accordingly, symptom characteristic accepter module 2928 may presentappropriate treatment options for each type of asthma.

Symptom ranking may include priority rankings of symptoms, such as thoseexperienced with gastrointestinal reflux disease (GERD). Heartburn,regurgitation, and dysphagia are considered typical symptoms of GERD.For example, it has been shown that high priority ranking of the symptomdysphagia is predictive of the presence of an esophageal stricture, buthas a negative association with abnormal manometric and pH studies. Incontrast, high priority ranking of the symptom heartburn andregurgitation are positively associated with abnormal manometric and pHresults. See Martinez-Serna et al., “Symptom Priority Ranking in theCare of Gastroesophageal Reflux: A Review of 1,850 Cases,” Dig Dis,17:219-224 (1999).

FIG. 37 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 37 illustrates example embodiments whereoperation 3110 may include at least one additional operation. Additionaloperations may include operation 3702, operation 3704, operation 3706,and/or operation 3708.

Operation 3702 illustrates to accepting an indication of at least onehealth-related condition. For example, as shown in FIGS. 27 through 30,device 102 and/or condition accepter module 2930 may accept anindication of at least one health-related condition. In one embodiment,treatment planning module 104 may accept an indication of ahealth-related condition such as “weight-loss.” In such a case,condition accepter module 2930 and/or determiner module 2908 maydetermine evaluative and treatment services such as nutritionistservices or dietetics services. Nutraceutical options may also bedetermined. In some instances, condition accepter module 2930 mayinclude a computer processor.

Further, operation 3704 illustrates to accepting an indication of atleast one goal. For example, as shown in FIGS. 27 through 30, device 102and/or goal accepter module 2932 may accept an indication of at leastone goal. In one embodiment, device 102 and/or goal accepter module 2932may accept an indication of an athletic performance goal, such asincreased aerobic conditioning. Determined health service options forthis goal may include exercise training services, nutrition services,sports psychology services, or the like. In some instances, goalaccepter module 2932 may include a computer processor.

Further, operation 3706 illustrates to accepting an indication of atleast one of a short-term goal, a long-term goal, an achievement goal,or a stability goal. For example, as shown in FIGS. 27 through 30,device 102 and/or goal characteristic accepter module 2934 may accept anindication of at least one of a short-term goal, a long-term goal, anachievement goal, or a stability goal. In one embodiment, goalcharacteristic accepter module 2934 may accept an achievement goal, suchas stopping smoking cigarettes. In this example, goal characteristicaccepter module 2934 may determine nicotine replacement therapy, such asover-the-counter anti-smoking aids such as nicotine gum. Anothernicotine replacement therapy is the nicotine patch. Other alternativesto combat the urge to smoke include support and counseling services,hypnosis, acupuncture, or the like. In some instances, goalcharacteristic accepter module 2934 may include a computer processor.

A stability goal may include maintenance programs whereby an individualis able to achieve a goal with a degree of consistency over time. Forexample, a stability goal for a diabetic may include maintaining herblood sugar within a recommended range for a given period of months oryears. Another example of a stability goal is maintaining one's LDLcholesterol at a low level over a certain period of time.

Further, operation 3708 illustrates accepting an indication of at leastone of pregnancy, cosmetic manipulation goal, well-being goal, ordietary goal. For example, device 102 and/or goal characteristicaccepter module 2936 may accept an indication of at least one ofpregnancy, cosmetic manipulation goal, well-being goal, or dietary goal.In one embodiment, goal characteristic accepter module 2936 may acceptan indication of “rhinoplasty” as the cosmetic manipulation goal. Inthis embodiment, goal characteristic accepter module 2936 may determinevarious rhinoplasty options, including, for example, open rhinoplasty,closed rhinoplasty, or non-surgical rhinoplasty. In some situations, apatient/health care provider/user 140 may not be aware of the range ofoptions available for addressing a given health-related status orhealth-related condition. Accordingly, the system 100, device 102,and/or goal characteristic accepter module 2936 may be useful to theuser 140 in terms of discovering a range of options available to pursue.In some instances, goal characteristic accepter module 2936 may includea computer processor.

Examples of a pregnancy goal include a goal for becoming pregnant withina certain time frame, a goal for overcoming male or female infertility,a goal for ending a pregnancy, or the like. Examples of a well-beinggoal include a goal for stress management, a goal for depressionmanagement, a goal for sleeplessness management, a goal for anxietymanagement, or the like. Examples of a dietary goal include a goal forweight loss, a goal for a lower body mass index, a goal for increasedmuscle mass, a goal for lower dietary cholesterol intake, a goal for adiabetes-compatible diet, or the like.

FIG. 38 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 38 illustrates example embodiments whereoperation 3110 may include at least one additional operation. Additionaloperations may include operation 3802, operation 3804, operation 3806,and/or operation 3808.

Operation 3802 illustrates accepting at least one indication of anindividual's preference. For example, as shown in FIGS. 27 through 30,preference accepter module 2938 can accept at least one indication of anindividual's preference. In an embodiment, preference accepter module2938 may accept an indication of an individual's preference for a lowcost health service option. In some instances, preference acceptermodule 2938 may include a computer processor.

Further, operation 3804 illustrates accepting at least one indication ofan individual's preference for at least one of longevity of a healthservice option, quality of life, or health service option cost. Forexample, as shown in FIGS. 27 through 30, option preference acceptermodule 2940 can accept at least one indication of an individual'spreference for at least one of longevity of a health service option,quality of life, or health service option cost. In an embodiment, optionpreference accepter module 2940 may accept an indication of anindividual's preference for a health service option cost. In thisembodiment, the individual may input a preference for a health serviceoption below a certain cost threshold based on the individual's abilityto pay, for example, by utilizing the individual's medical insurancecoverage. In another embodiment, option preference accepter module 2940may accept an indication of an individual's preference for longevity ofa health service option. In this embodiment, the individual may input apreference for a health service option that may be a matter of days asopposed to a matter of months. For example, the individual may indicatethat a surgery and recovery taking one week is preferable to amedication regiment that may take six months. In some instances, optionpreference accepter module 2940 may include a computer processor.

Further, operation 3806 illustrates accepting at least one indication ofan individual's preference for at least one of health service optionpersonal inconvenience, health service option inconvenience to otherindividuals, or an individual's dignity. For example, as shown in FIGS.27 through 30, convenience accepter module 2942 may accept at least oneindication of an individual's preference for at least one of healthservice option personal inconvenience, health service optioninconvenience to other individuals, or an individual's dignity. In anembodiment, convenience accepter module 2942 can accept an indication ofan individual's preference for health service option personalinconvenience. In this embodiment, the individual may indicate that theindividual is willing to tolerate a high inconvenience due to, forexample, a high likelihood of success after experiencing a certainhealth service option. In some instances, convenience accepter module2942 may include a computer processor.

Further, operation 3808 illustrates accepting at least one indication ofan individual's preference for at least one of side effect tolerance orpotential embarrassment. For example, as shown in FIGS. 27 through 30,tolerance accepter module 2944 may accept at least one indication of anindividual's preference for at least one of side effect tolerance orpotential embarrassment. In an embodiment, tolerance accepter module2944 can accept an indication of an individual's preference for sideeffect tolerance. In this embodiment, the individual may indicate amedium tolerance for a side effect (e.g., as long as the side effectsare not severe). In some instances, tolerance accepter module 2944 mayinclude a computer processor.

FIG. 39 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 39 illustrates example embodiments whereoperation 3120 may include at least one additional operation. Additionaloperations may include operation 3902, operation 3904, operation 3906,and/or operation 3908.

Operation 3902 illustrates presenting a plurality of choices for atleast one of the health service option selection factors to aninterested party. For example, as shown in FIGS. 27 through 30, partypresenter module 2946 may present a plurality of choices for at leastone of the health service option selection factors to an interestedparty. In an embodiment, party presenter module 2946 can present aplurality of choices, such as individual preferences regarding cost andside effects of a potential health service option. Some examples ofhealth service option selection factors may include health serviceoption costs, amount of pain associated with the health service option,potential side effects, and/or location of a health service option. Insome instances, party presenter module 2946 may include a computerprocessor.

Further, operation 3904 illustrates presenting a plurality of choicesfor at least one of the health service option selection factors to theindividual. For example, as shown in FIGS. 27 through 30, individualpresenter module 2948 may present a plurality of choices for at leastone of the health service option selection factors to the individual. Inan embodiment, individual presenter module 2948 can present a choice forpersonal preference for pain and discomfort associated with at least oneof the health service option selection factors to the individual needingthe health service option. In some instances, individual presentermodule 2948 may include a computer processor.

Further, operation 3906 illustrates presenting a plurality of choicesfor at least one of the health service option selection factors to aphysician. For example, as shown in FIGS. 27 through 30, physicianpresenter module 2950 may present a plurality of choices for at leastone of the health service option selection factors to a physician. In anembodiment, physician presenter module 2950 can present a plurality ofchoices for an individual's personal preference for side effects anddiscomfort associated with at least one of the health service optionselection factors to a physician. Presenting the plurality of choices toa physician may serve to educate the physician in counseling and/oradvising the individual regarding the health service optionpossibilities. In some instances, physician presenter module 2950 mayinclude a computer processor.

Further, operation 3908 illustrates presenting a plurality of choicesfor at least one of the health service option selection factors to aninsurance company. For example, as shown in FIGS. 27 through 30,insurance presenter module 2952 may present a plurality of choices forat least one of the health service option selection factors to aninsurance company. In an embodiment, insurance presenter module 2952 canpresent a plurality of choices for an individual's personal preferencefor side effects and health service option location associated with atleast one of the health service option selection factors to an insurancecompany. Presenting the plurality of choices to an insurance company mayserve to help the insurance company determine the proper amount ofhealth service option coverage. In some instances, physician presentermodule 2950 may include a computer processor.

FIG. 40 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 40 illustrates example embodiments whereoperation 3120 may include at least one additional operation. Additionaloperations may include operation 4002, operation 4004, and/or operation4006.

Operation 4002 illustrates presenting a plurality of choices for atleast one of the health service option selection factors to a userinterface. For example, as shown in FIGS. 27 through 30, interfacepresenter module 2954 may present a plurality of choices for at leastone of the health service option selection factors to a user interface.A user interface may include means by which an individual may interactwith a system. Some examples of a user interface may include atouchscreen, a graphical user interface, a tactile interface, and/or alive user interface. In an embodiment, interface presenter module 2954may present a plurality of choices for at least one of the healthservice option selection factors to a touchscreen device. In someinstances, interface presenter module 2954 may include a computerprocessor.

Further, operation 4004 illustrates presenting the plurality of choicesfor at least one of the health service option selection factors as aslider bar. For example, as shown in FIGS. 27 through 30, bar presentermodule 2956 may present the plurality of choices for at least one of thehealth service option selection factors as a slider bar. A slider barmay include an object in a graphical user interface with which a usermay set a value by moving an indicator. A slider bar may be used toadjust a value without changing a display format and/or otherinformation on a screen. In an embodiment, bar presenter module 2956 canpresent a health service option selection factor choice for anindividual's preferred cost for a health service option as a slider bar(or a slider widget). In this embodiment, one end of the slider bar mayindicate a low cost while the opposite end of the slider bar mayindicate a high cost. Presenting the choices as a slider bar may serveto allow the individual to compare how a factor may affect a healthservice option (e.g., cost). In some instances, bar presenter module2956 may include a computer processer.

Further, operation 4006 illustrates presenting the plurality of choicesfor at least one of the health service option selection factors as atleast one of a vertical slider bar or a horizontal slider bar. Forexample, as shown in FIGS. 27 through 30, slider bar presenter module2958 may present the plurality of choices for at least one of the healthservice option selection factors as at least one of a vertical sliderbar or a horizontal slider bar. In an embodiment, slider bar presentermodule 2958 can present a plurality of choices as a series of horizontalslider bars. In this embodiment, each slider bar may represent onehealth service option factor where each factor may be adjusted to assistin selecting a health service option for an individual. In someinstances, slider bar presenter module 2958 may include a computerprocessor.

FIG. 41 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 41 illustrates example embodiments whereoperation 3120 may include at least one additional operation. Additionaloperations may include operation 4102, and/or operation 4104.

Further, operation 4102 illustrates presenting the plurality of choicesfor at least one of the health service option selection factors as theuser interface including a slider bar corresponding with each factor.For example, as shown in FIGS. 27 through 30, corresponding presentermodule 2960 may present the plurality of choices for at least one of thehealth service option selection factors as the user interface includinga slider bar corresponding with each factor. In an embodiment,corresponding presenter module 2960 can present a plurality of choicesas a series of horizontal slider bars. In this embodiment, each sliderbar may correspond with one health service option factor where eachfactor may be adjusted to assist in selecting a health service optionfor an individual. Additionally, using multiple slider bars may serve toallow for experimenting by the individual by varying one slider barwhile holding the result and/or the other slider bars constant in orderto see the effect. In some instances, corresponding presenter module2960 may include a computer processor.

Operation 4104 illustrates presenting the plurality of choices for atleast one of the health service option selection factors at leastpartially based on selection factors that have been calculated with anormal distribution. For example, as shown in FIGS. 27 through 30,distribution presenter module 2962 can present the plurality of choicesfor at least one of the health service option selection factors at leastpartially based on selection factors that have been calculated with anormal distribution. A normal distribution may include a continuousprobability distribution describing data that clusters around a mean oraverage. A graph of data with a normal distribution may be bell-shapedwith a peak at the mean value. In an embodiment, distribution presentermodule 2962 may present a plurality of choices for a group of healthservice option selection factors where slider bar configurability mayallow an individual to find a “sweet spot” (e.g., “I am willing to spendthis much money, endure this much inconvenience, and sustain only thismuch loss of dignity in order to achieve a 90% probability [calculatedin, for example, a normal distribution with a standard deviation of X]of living 10 or more years”). In some instances, distribution presentermodule 2962 may include a computer processor.

FIG. 42 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 42 illustrates example embodiments whereoperation 3130 may include at least one additional operation. Additionaloperations may include operation 4202, operation 4204, operation 4206,and/or operation 4208.

Operation 4202 illustrates presenting at least one outcome output to athird party. For example, as shown in FIGS. 27 through 30, third partypresenter module 2964 may present at least one outcome output to a thirdparty. A third party may include a party that is an independent party,person, and/or entity. Some examples of a third party may include aphysician, a medical database, a hospital, a law enforcement agency,and/or a pharmacy. In one embodiment, third party presenter module 2964may present an indication to an insurance company. Another example ofreporting to a third party may include creating displays and reports foraggregating data from results, further discussed in Bair et al., U.S.Pat. No. 6,067,523, which is incorporated herein by reference. In someinstances, third party presenter module 2964 may include a computerprocessor and/or a communications device, such as a monitor and networklink.

Further, operation 4204 illustrates presenting at least one outcomeoutput to a health care provider. For example, as shown in FIGS. 27through 30, health care provider presenter module 2966 may present atleast one outcome output to a health care provider. A health careprovider may include a pharmacy, a pharmaceutical company, a medicaldevice company, a research institution, a computer software and/orcomputer hardware company, a website, a nurse and/or a physician. In oneembodiment, health care provider presenter module 2966 may present to aphysician an outcome output via a secured website. In some instances,health care provider presenter module 2966 may include a computerprocessor.

Further, operation 4206 illustrates presenting at least one outcomeoutput to an insurance provider. For example, as shown in FIGS. 27through 30, insurance provider presenter module 2968 may present atleast one outcome to an insurance provider. In an embodiment, insuranceprovider presenter module 2968 can present an outcome output to amedical insurance provider based on an individual's personalpreferences. This may serve to provide information to an insurer thatmay allow the insurer to better predict future coverage and may allowthe individual to comply with an agreement, for example to providecertain medical information to the insurance company. In some instances,insurance provider presenter module 2968 may include a computerprocessor.

Further, operation 4208 illustrates presenting at least one anonymizedoutcome output. For example, as shown in FIGS. 27 through 30, anonymouspresenter module 2970 may present at least one anonymized outcomeoutput. In an embodiment, anonymous presenter module 2970 can presentanonymized outcome output to an insurance company. Presenting anonymizedinformation may serve to protect the identity of the individual. Anotherexample of presenting at least one anonymized outcome output may befound in Mayaud, U.S. Pat. No. 7,519,540, which is incorporated hereinby reference. In some instances, anonymous presenter module 2970 mayinclude a computer processor.

FIG. 43 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 43 illustrates example embodiments whereoperation 3130 may include at least one additional operation. Additionaloperations may include operation 4302, operation 4304, operation 4306,and/or operation 4308.

Operation 4302 illustrates presenting at least one outcome output to anoutput device. For example, as shown in FIGS. 27 through 30, outputdevice presenter module 2972 may present at least one outcome output toan output device. In one example, output device presenter module 2972may present an indication of at least one recommended health serviceoption to an output device 130, such as a printer and/or monitor at ahealth clinic. An output device may include any hardware deviceconfigured for receiving computer output. Some examples of an outputdevice may include a printer, a monitor, a mobile phone, a speaker,and/or a visual display unit. The output device 130 may be used byindividual 134 and/or user 118. In some instances, output devicepresenter module 2972 may include a computer processor.

Further, operation 4304 illustrates presenting at least one outcomeoutput to a user interface. For example, as shown in FIGS. 27 through30, user interface presenter module 2974 may present at least oneoutcome output to a user interface. In one embodiment, user interfacepresenter module 2974 may present to a touchscreen device. A userinterface may include means by which an individual may interact with asystem. Some examples of a user interface may include a touchscreen, agraphical user interface, a tactile interface, and/or a live userinterface. In some instances, user interface presenter module 2974 mayinclude a computer processor.

Further, operation 4306 illustrates presenting at least one outcomeoutput to a mobile device. For example, as shown in FIGS. 27 through 30,mobile presenter module 2976 may present at least one outcome output toa mobile device. In one embodiment, mobile presenter module 2976 maypresent to a mobile phone. A mobile device may include a portablecomputing device and may have wireless connection capability. Someexamples of a mobile device may include a laptop or notebook computer, apersonal digital assistant (PDA), an iPod, a smartphone, an Enterprisedigital assistant (EDA), and/or a pager. In some instances, mobilepresenter module 2976 may include a computer processor.

Operation 4308 illustrates selectively presenting at least one outcomeoutput only to the individual. For example, as shown in FIGS. 27 through30, selective presenter module 2978 may selectively present at least oneoutcome output only to the individual. Selective presenting may includelimiting and/or blocking access of an individual's compliance resultsand/or a recommended therapy, such as a prescribed artificial sensoryexperience and/or bioactive agent to a specific party. For example,selective presenter module 2978 may present only to individual 134 andmay keep results of a certain recommended combination therapyconfidential. In one embodiment, an encryption key may be employed toprotect selected information. In some instances, selective presentermodule 2978 may include a computer processor.

FIG. 44 illustrates alternative embodiments of the example operationalflow 3100 of FIG. 31. FIG. 44 illustrates example embodiments whereoperation 3130 may include at least one additional operation. Additionaloperations may include operation 4402.

Operation 4402 illustrates accepting input from a potential patientincluding a personal preference for cost for an alternative medicinetreatment for an arthritis condition and a personal preference forpotential side effects of the alternative medicine treatment for thearthritis condition, presenting a plurality of choices where thepersonal preference for cost is presented as a first slider bar and thepersonal preference for potential side effects is presented as a secondslider bar, and presenting a recommended alternative medicine treatmentfor arthritis based on a selection by the potential patient of thepersonal preference for cost and the personal preference for potentialside effects. For example, as shown in FIGS. 27 through 30, acceptermodule 2902, choice presenter module 2904, and output presenter module2906 may accept input from a potential patient including a personalpreference for cost for an alternative medicine treatment for anarthritis condition and a personal preference for potential side effectsof the alternative medicine treatment for the arthritis condition,present a plurality of choices where the personal preference for cost ispresented as a first slider bar and the personal preference forpotential side effects is presented as a second slider bar, and presenta recommended alternative medicine treatment for arthritis based on aselection by the potential patient of the personal preference for costand the personal preference for potential side effects. In someinstances, accepter module 2902 may include a computer processor. Insome instances, choice presenter module 2904 may include a computerprocessor. In some instances, output presenter module 2906 may include acomputer processor.

FIG. 45 illustrates a partial view of an example computer programproduct 4500 that includes a computer program 4504 for executing acomputer process on a computing device. An embodiment of the examplecomputer program product 4500 is provided using a signal-bearing medium4502, and may include one or more instructions for accepting user inputrelating to a plurality of health service option selection factors, oneor more instructions for presenting a plurality of choices for at leastone of the health service option selection factors, and one or moreinstructions for presenting at least one outcome output based on aselection of at least one of the plurality of choices for at least oneof the health service option selection factors. The one or moreinstructions may be, for example, computer executable and/orlogic-implemented instructions. In one implementation, thesignal-bearing medium 4502 may include a computer-readable medium 4506.In one implementation, the signal bearing medium 4502 may include arecordable medium 4508. In one implementation, the signal bearing medium4502 may include a communications medium 4510.

FIG. 46 illustrates an example system 4600 in which embodiments may beimplemented. The system 4600 includes a computing system environment.The system 4600 also illustrates the user 118 using a device 4604, whichis optionally shown as being in communication with a computing device4602 by way of an optional coupling 4606. The optional coupling 4606 mayrepresent a local, wide-area, or peer-to-peer network, or may representa bus that is internal to a computing device (e.g., in exampleembodiments in which the computing device 4602 is contained in whole orin part within the device 4604). A storage medium 4608 may be anycomputer storage media.

The computing device 4602 includes computer-executable instructions 4610that when executed on the computing device 4602 cause the computingdevice 4602 to accept user input relating to a plurality of healthservice option selection factors, present a plurality of choices for atleast one of the health service option selection factors, and present atleast one outcome output based on a selection of at least one of theplurality of choices for at least one of the health service optionselection factors. As referenced above and as shown in FIG. 46, in someexamples, the computing device 4602 may optionally be contained in wholeor in part within the device 4604.

In FIG. 46, then, the system 4600 includes at least one computing device(e.g., 4602 and/or 4604). The computer-executable instructions 4610 maybe executed on one or more of the at least one computing device. Forexample, the computing device 4602 may implement the computer-executableinstructions 4610 and output a result to (and/or receive data from) thecomputing device 4604. Since the computing device 4602 may be wholly orpartially contained within the computing device 4604, the device 4604also may be said to execute some or all of the computer-executableinstructions 4610, in order to be caused to perform or implement, forexample, various ones of the techniques described herein, or othertechniques.

The device 4604 may include, for example, a portable computing device,workstation, or desktop computing device. In another example embodiment,the computing device 4602 is operable to communicate with the device4604 associated with the user 118 to receive information about the inputfrom the user 118 for performing data access and data processing andpresenting an output of the user-health test function at least partlybased on the user data.

Although a user 140 is shown/described herein as a single illustratedfigure, those skilled in the art will appreciate that a user 140 may berepresentative of a human user, a robotic user (e.g., computationalentity), and/or substantially any combination thereof (e.g., a user maybe assisted by one or more robotic agents). In addition, a user 140, asset forth herein, although shown as a single entity may in fact becomposed of two or more entities. Those skilled in the art willappreciate that, in general, the same may be said of “sender” and/orother entity-oriented terms as such terms are used herein.

Those skilled in the art will appreciate that the foregoing specificexemplary processes and/or devices and/or technologies arerepresentative of more general processes and/or devices and/ortechnologies taught elsewhere herein, such as in the claims filedherewith and/or elsewhere in the present application.

Those having skill in the art will recognize that the state of the arthas progressed to the point where there is little distinction leftbetween hardware, software, and/or firmware implementations of aspectsof systems; the use of hardware, software, and/or firmware is generally(but not always, in that in certain contexts the choice between hardwareand software can become significant) a design choice representing costvs. efficiency tradeoffs. Those having skill in the art will appreciatethat there are various vehicles by which processes and/or systems and/orother technologies described herein can be effected (e.g., hardware,software, and/or firmware), and that the preferred vehicle will varywith the context in which the processes and/or systems and/or othertechnologies are deployed. For example, if an implementer determinesthat speed and accuracy are paramount, the implementer may opt for amainly hardware and/or firmware vehicle; alternatively, if flexibilityis paramount, the implementer may opt for a mainly softwareimplementation; or, yet again alternatively, the implementer may opt forsome combination of hardware, software, and/or firmware. Hence, thereare several possible vehicles by which the processes and/or devicesand/or other technologies described herein may be effected, none ofwhich is inherently superior to the other in that any vehicle to beutilized is a choice dependent upon the context in which the vehiclewill be deployed and the specific concerns (e.g., speed, flexibility, orpredictability) of the implementer, any of which may vary. Those skilledin the art will recognize that optical aspects of implementations willtypically employ optically-oriented hardware, software, and or firmware.

In some implementations described herein, logic and similarimplementations may include software or other control structuressuitable to operation. Electronic circuitry, for example, may manifestone or more paths of electrical current constructed and arranged toimplement various logic functions as described herein. In someimplementations, one or more media are configured to bear adevice-detectable implementation if such media hold or transmit aspecial-purpose device instruction set operable to perform as describedherein. In some variants, for example, this may manifest as an update orother modification of existing software or firmware, or of gate arraysor other programmable hardware, such as by performing a reception of ora transmission of one or more instructions in relation to one or moreoperations described herein. Alternatively or additionally, in somevariants, an implementation may include special-purpose hardware,software, firmware components, and/or general-purpose componentsexecuting or otherwise invoking special-purpose components.Specifications or other implementations may be transmitted by one ormore instances of tangible transmission media as described herein,optionally by packet transmission or otherwise by passing throughdistributed media at various times.

Alternatively or additionally, implementations may include executing aspecial-purpose instruction sequence or otherwise invoking circuitry forenabling, triggering, coordinating, requesting, or otherwise causing oneor more occurrences of any functional operations described above. Insome variants, operational or other logical descriptions herein may beexpressed directly as source code and compiled or otherwise invoked asan executable instruction sequence. In some contexts, for example, C++or other code sequences can be compiled directly or otherwiseimplemented in high-level descriptor languages (e.g., alogic-synthesizable language, a hardware description language, ahardware design simulation, and/or other such similar mode(s) ofexpression). Alternatively or additionally, some or all of the logicalexpression may be manifested as a Verilog-type hardware description orother circuitry model before physical implementation in hardware,especially for basic operations or timing-critical applications. Thoseskilled in the art will recognize how to obtain, configure, and optimizesuitable transmission or computational elements, material supplies,actuators, or other common structures in light of these teachings.

The foregoing detailed description has set forth various embodiments ofthe devices and/or processes via the use of block diagrams, flowcharts,and/or examples. Insofar as such block diagrams, flowcharts, and/orexamples contain one or more functions and/or operations, it will beunderstood by those within the art that each function and/or operationwithin such block diagrams, flowcharts, or examples can be implemented,individually and/or collectively, by a wide range of hardware, software,firmware, or virtually any combination thereof. In one embodiment,several portions of the subject matter described herein may beimplemented via Application Specific Integrated Circuits (ASICs), FieldProgrammable Gate Arrays (FPGAs), digital signal processors (DSPs), orother integrated formats. However, those skilled in the art willrecognize that some aspects of the embodiments disclosed herein, inwhole or in part, can be equivalently implemented in integratedcircuits, as one or more computer programs running on one or morecomputers (e.g., as one or more programs running on one or more computersystems), as one or more programs running on one or more processors(e.g., as one or more programs running on one or more microprocessors),as firmware, or as virtually any combination thereof, and that designingthe circuitry and/or writing the code for the software and or firmwarewould be well within the skill of one of skill in the art in light ofthis disclosure. In addition, those skilled in the art will appreciatethat the mechanisms of the subject matter described herein are capableof being distributed as a program product in a variety of forms, andthat an illustrative embodiment of the subject matter described hereinapplies regardless of the particular type of signal bearing medium usedto actually carry out the distribution. Examples of a signal bearingmedium include, but are not limited to, the following: a recordable typemedium such as a floppy disk, a hard disk drive, a Compact Disc (CD), aDigital Video Disk (DVD), a digital tape, a computer memory, etc.; and atransmission type medium such as a digital and/or an analogcommunication medium (e.g., a fiber optic cable, a waveguide, a wiredcommunications link, a wireless communication link (e.g., transmitter,receiver, transmission logic, reception logic, etc.), etc.).

In a general sense, those skilled in the art will recognize that thevarious embodiments described herein can be implemented, individuallyand/or collectively, by various types of electro-mechanical systemshaving a wide range of electrical components such as hardware, software,firmware, and/or virtually any combination thereof; and a wide range ofcomponents that may impart mechanical force or motion such as rigidbodies, spring or torsional bodies, hydraulics, electro-magneticallyactuated devices, and/or virtually any combination thereof.Consequently, as used herein “electro-mechanical system” includes, butis not limited to, electrical circuitry operably coupled with atransducer (e.g., an actuator, a motor, a piezoelectric crystal, a MicroElectro Mechanical System (MEMS), etc.), electrical circuitry having atleast one discrete electrical circuit, electrical circuitry having atleast one integrated circuit, electrical circuitry having at least oneapplication specific integrated circuit, electrical circuitry forming ageneral purpose computing device configured by a computer program (e.g.,a general purpose computer configured by a computer program which atleast partially carries out processes and/or devices described herein,or a microprocessor configured by a computer program which at leastpartially carries out processes and/or devices described herein),electrical circuitry forming a memory device (e.g., forms of memory(e.g., random access, flash, read only, etc.)), electrical circuitryforming a communications device (e.g., a modem, communications switch,optical-electrical equipment, etc.), and/or any non-electrical analogthereto, such as optical or other analogs. Those skilled in the art willalso appreciate that examples of electro-mechanical systems include butare not limited to a variety of consumer electronics systems, medicaldevices, as well as other systems such as motorized transport systems,factory automation systems, security systems, and/orcommunication/computing systems. Those skilled in the art will recognizethat electro-mechanical as used herein is not necessarily limited to asystem that has both electrical and mechanical actuation except ascontext may dictate otherwise.

In a general sense, those skilled in the art will recognize that thevarious aspects described herein which can be implemented, individuallyand/or collectively, by a wide range of hardware, software, firmware,and/or any combination thereof can be viewed as being composed ofvarious types of “electrical circuitry.” Consequently, as used herein“electrical circuitry” includes, but is not limited to, electricalcircuitry having at least one discrete electrical circuit, electricalcircuitry having at least one integrated circuit, electrical circuitryhaving at least one application specific integrated circuit, electricalcircuitry forming a general purpose computing device configured by acomputer program (e.g., a general purpose computer configured by acomputer program which at least partially carries out processes and/ordevices described herein, or a microprocessor configured by a computerprogram which at least partially carries out processes and/or devicesdescribed herein), electrical circuitry forming a memory device (e.g.,forms of memory (e.g., random access, flash, read only, etc.)), and/orelectrical circuitry forming a communications device (e.g., a modem,communications switch, optical-electrical equipment, etc.). Those havingskill in the art will recognize that the subject matter described hereinmay be implemented in an analog or digital fashion or some combinationthereof.

Those skilled in the art will recognize that at least a portion of thedevices and/or processes described herein can be integrated into a dataprocessing system. Those having skill in the art will recognize that adata processing system generally includes one or more of a system unithousing, a video display device, memory such as volatile or non-volatilememory, processors such as microprocessors or digital signal processors,computational entities such as operating systems, drivers, graphicaluser interfaces, and applications programs, one or more interactiondevices (e.g., a touch pad, a touch screen, an antenna, etc.), and/orcontrol systems including feedback loops and control motors (e.g.,feedback for sensing position and/or velocity; control motors for movingand/or adjusting components and/or quantities). A data processing systemmay be implemented utilizing suitable commercially available components,such as those typically found in data computing/communication and/ornetwork computing/communication systems.

Those skilled in the art will recognize that it is common within the artto implement devices and/or processes and/or systems, and thereafter useengineering and/or other practices to integrate such implemented devicesand/or processes and/or systems into more comprehensive devices and/orprocesses and/or systems. That is, at least a portion of the devicesand/or processes and/or systems described herein can be integrated intoother devices and/or processes and/or systems via a reasonable amount ofexperimentation. Those having skill in the art will recognize thatexamples of such other devices and/or processes and/or systems mightinclude—as appropriate to context and application—all or part of devicesand/or processes and/or systems of (a) an air conveyance (e.g., anairplane, rocket, helicopter, etc.), (b) a ground conveyance (e.g., acar, truck, locomotive, tank, armored personnel carrier, etc.), (c) abuilding (e.g., a home, warehouse, office, etc.), (d) an appliance(e.g., a refrigerator, a washing machine, a dryer, etc.), (e) acommunications system (e.g., a networked system, a telephone system, aVoice over IP system, etc.), (f) a business entity (e.g., an InternetService Provider (ISP) entity such as Comcast Cable, Qwest, SouthwesternBell, etc.), or (g) a wired/wireless services entity (e.g., Sprint,Cingular, Nextel, etc.), etc.

In certain cases, use of a system or method may occur in a territoryeven if components are located outside the territory. For example, in adistributed computing context, use of a distributed computing system mayoccur in a territory even though parts of the system may be locatedoutside of the territory (e.g., relay, server, processor, signal-bearingmedium, transmitting computer, receiving computer, etc. located outsidethe territory).

A sale of a system or method may likewise occur in a territory even ifcomponents of the system or method are located and/or used outside theterritory.

Further, implementation of at least part of a system for performing amethod in one territory does not preclude use of the system in anotherterritory.

All of the above U.S. patents, U.S. patent application publications,U.S. patent applications, foreign patents, foreign patent applicationsand non-patent publications referred to in this specification and/orlisted in any Application Data Sheet, are incorporated herein byreference, to the extent not inconsistent herewith.

One skilled in the art will recognize that the herein describedcomponents (e.g., operations), devices, objects, and the discussionaccompanying them are used as examples for the sake of conceptualclarity and that various configuration modifications are contemplated.Consequently, as used herein, the specific exemplars set forth and theaccompanying discussion are intended to be representative of their moregeneral classes. In general, use of any specific exemplar is intended tobe representative of its class, and the non-inclusion of specificcomponents (e.g., operations), devices, and objects should not be takenlimiting.

With respect to the use of substantially any plural and/or singularterms herein, those having skill in the art can translate from theplural to the singular and/or from the singular to the plural as isappropriate to the context and/or application. The varioussingular/plural permutations are not expressly set forth herein for sakeof clarity.

The herein described subject matter sometimes illustrates differentcomponents contained within, or connected with, different othercomponents. It is to be understood that such depicted architectures aremerely exemplary, and that in fact many other architectures may beimplemented which achieve the same functionality. In a conceptual sense,any arrangement of components to achieve the same functionality iseffectively “associated” such that the desired functionality isachieved. Hence, any two components herein combined to achieve aparticular functionality can be seen as “associated with” each othersuch that the desired functionality is achieved, irrespective ofarchitectures or intermedial components. Likewise, any two components soassociated can also be viewed as being “operably connected”, or“operably coupled,” to each other to achieve the desired functionality,and any two components capable of being so associated can also be viewedas being “operably couplable,” to each other to achieve the desiredfunctionality. Specific examples of operably couplable include but arenot limited to physically mateable and/or physically interactingcomponents, and/or wirelessly interactable, and/or wirelesslyinteracting components, and/or logically interacting, and/or logicallyinteractable components.

In some instances, one or more components may be referred to herein as“configured to,” “configurable to,” “operable/operative to,”“adapted/adaptable,” “able to,” “conformable/conformed to,” etc. Thoseskilled in the art will recognize that “configured to” can generallyencompass active-state components and/or inactive-state componentsand/or standby-state components, unless context requires otherwise.

While particular aspects of the present subject matter described hereinhave been shown and described, it will be apparent to those skilled inthe art that, based upon the teachings herein, changes and modificationsmay be made without departing from the subject matter described hereinand its broader aspects and, therefore, the appended claims are toencompass within their scope all such changes and modifications as arewithin the true spirit and scope of the subject matter described herein.It will be understood by those within the art that, in general, termsused herein, and especially in the appended claims (e.g., bodies of theappended claims) are generally intended as “open” terms (e.g., the term“including” should be interpreted as “including but not limited to,” theterm “having” should be interpreted as “having at least,” the term“includes” should be interpreted as “includes but is not limited to,”etc.). It will be further understood by those within the art that if aspecific number of an introduced claim recitation is intended, such anintent will be explicitly recited in the claim, and in the absence ofsuch recitation no such intent is present. For example, as an aid tounderstanding, the following appended claims may contain usage of theintroductory phrases “at least one” and “one or more” to introduce claimrecitations. However, the use of such phrases should not be construed toimply that the introduction of a claim recitation by the indefinitearticles “a” or “an” limits any particular claim containing suchintroduced claim recitation to claims containing only one suchrecitation, even when the same claim includes the introductory phrases“one or more” or “at least one” and indefinite articles such as “a” or“an” (e.g., “a” and/or “an” should typically be interpreted to mean “atleast one” or “one or more”); the same holds true for the use ofdefinite articles used to introduce claim recitations. In addition, evenif a specific number of an introduced claim recitation is explicitlyrecited, those skilled in the art will recognize that such recitationshould typically be interpreted to mean at least the recited number(e.g., the bare recitation of “two recitations,” without othermodifiers, typically means at least two recitations, or two or morerecitations). Furthermore, in those instances where a conventionanalogous to “at least one of A, B, and C, etc.” is used, in generalsuch a construction is intended in the sense one having skill in the artwould understand the convention (e.g., “a system having at least one ofA, B, and C” would include but not be limited to systems that have Aalone, B alone, C alone, A and B together, A and C together, B and Ctogether, and/or A, B, and C together, etc.). In those instances where aconvention analogous to “at least one of A, B, or C, etc.” is used, ingeneral such a construction is intended in the sense one having skill inthe art would understand the convention (e.g., “a system having at leastone of A, B, or C” would include but not be limited to systems that haveA alone, B alone, C alone, A and B together, A and C together, B and Ctogether, and/or A, B, and C together, etc.). It will be furtherunderstood by those within the art that typically a disjunctive wordand/or phrase presenting two or more alternative terms, whether in thedescription, claims, or drawings, should be understood to contemplatethe possibilities of including one of the terms, either of the terms, orboth terms unless context dictates otherwise. For example, the phrase “Aor B” will be typically understood to include the possibilities of “A”or “B” or “A and B.”

With respect to the appended claims, those skilled in the art willappreciate that recited operations therein may generally be performed inany order. Also, although various operational flows are presented in asequence(s), it should be understood that the various operations may beperformed in other orders than those which are illustrated, or may beperformed concurrently. Examples of such alternate orderings may includeoverlapping, interleaved, interrupted, reordered, incremental,preparatory, supplemental, simultaneous, reverse, or other variantorderings, unless context dictates otherwise. Furthermore, terms like“responsive to,” “related to,” or other past-tense adjectives aregenerally not intended to exclude such variants, unless context dictatesotherwise.

While various aspects and embodiments have been disclosed herein, otheraspects and embodiments will be apparent to those skilled in the art.The various aspects and embodiments disclosed herein are for purposes ofillustration and are not intended to be limiting, with the true scopeand spirit being indicated by the following claims.

What is claimed is:
 1. A system, comprising: means for accepting a user's preference relating to a plurality of health care option selection factors from at least one of a health care provider or a potential patient, where the health care option selection factors include symptom information related to an arthritis health-related condition, a personal preference for cost for an alternative medicine treatment for an arthritis condition and a personal preference for potential side effects of the alternative medicine treatment for the arthritis condition; means for presenting a plurality of choices for at least one of the health care option selection factors where the personal preference for cost is presented as a first slider bar and the personal preference for potential side effects is presented as a second slider bar; and means for presenting a recommended alternative medicine treatment for the arthritis health-related condition based on a selection of by the potential patient of the personal preference for cost and the personal preference for potential side effects.
 2. The system of claim 1 wherein the means for accepting a user's preference relating to a plurality of health care option selection factors comprises: means for accepting user input including an indication of at least one health-related status of an individual.
 3. The system of claim 2 wherein the means for accepting user input including an indication of at least one health-related status of an individual comprises: means for accepting health care provider input including an indication of at least one health-related status of an individual.
 4. The system of claim 2 wherein the means for accepting user input including an indication of at least one health-related status of an individual comprises: means for accepting patient input including an indication of at least one health-related status of the patient.
 5. The system of claim 2 wherein the means for accepting user input including an indication of at least one health-related status of an individual comprises: means for accepting health maintenance organization input including an indication of at least one health-related status of a patient.
 6. The system of claim 2 wherein the means for accepting user input including an indication of at least one health-related status of an individual comprises: means for accepting insurer input including an indication of at least one health-related status of an insured individual.
 7. The system of claim 1 wherein the means for accepting a user's preference relating to a plurality of health care option selection factors comprises: means for accepting an indication of at least one symptom.
 8. The system of claim 7 wherein the means for accepting an indication of at least one symptom comprises: means for accepting an indication of a symptom profile.
 9. The system of claim 8 wherein the means for accepting an indication of a symptom profile comprises: means for accepting an indication of at least one of a symptom frequency, a symptom ranking, or a symptom severity.
 10. The system of claim 1 wherein the means for accepting a user's preference relating to a plurality of health care option selection factors comprises: means for accepting an indication of at least one health-related condition.
 11. The system of claim 10 wherein the means for accepting an indication of at least one health-related condition comprises: means for accepting an indication of at least one goal.
 12. The system of claim 11 wherein the means for accepting an indication of at least one goal comprises: means for accepting an indication of at least one of a short-term goal, a long-term goal, an achievement goal, or a stability goal.
 13. The system of claim 11 wherein means for accepting an indication of at least one goal comprises: means for accepting an indication of at least one of pregnancy, cosmetic manipulation goal, well-being goal, or dietary goal.
 14. The system of claim 1 wherein the means for accepting a user's preference relating to a plurality of health care option selection factors comprises: means for accepting at least one indication of an individual's preference.
 15. The system of claim 14 wherein the means for accepting at least one indication of an individual's preference comprises: means for accepting at least one indication of an individual's preference for at least one of longevity of a health service option, quality of life, or health service option cost.
 16. The system of claim 1 wherein the means for presenting a plurality of choices for at least one of the health care option selection factors comprises: means for presenting a plurality of choices for at least one of the health service option selection factors to an interested party.
 17. The system of claim 16 wherein the means for presenting a plurality of choices for at least one of the health service option selection factors to an interested party comprises: means for presenting a plurality of choices for at least one of the health service option selection factors to a physician.
 18. The system of claim 16 wherein the means for presenting a plurality of choices for at least one of the health service option selection factors to an interested party comprises: means for presenting a plurality of choices for at least one of the health service option selection factors to an insurance company.
 19. The system of claim 1 wherein the means for presenting a plurality of choices for at least one of the health care option selection factors comprises: means for presenting a plurality of choices for at least one of the health service option selection factors to a user interface.
 20. The system of claim 19 wherein the means for presenting a plurality of choices for at least one of the health service option selection factors to a user interface comprises: means for presenting the plurality of choices for at least one of the health service option selection factors as a slider bar.
 21. The system of claim 20 wherein the means for presenting the plurality of choices for at least one of the health service option selection factors as a slider bar comprises: means for presenting the plurality of choices for at least one of the health service option selection factors as at least one of a vertical slider bar or a horizontal slider bar.
 22. The system of claim 20 wherein the means for presenting the plurality of choices for at least one of the health service option selection factors as a slider bar comprises: means for presenting the plurality of choices for at least one of the health service option selection factors as the user interface including a slider bar corresponding with each factor.
 23. The system of claim 1 wherein the means for presenting a plurality of choices for at least one of the health care option selection factors comprises: means for presenting the plurality of choices for at least one of the health service option selection factors at least partially based on selection factors that have been calculated with a normal distribution.
 24. The system of claim 1 wherein the means for presenting at least one outcome output based on a selection of at least one of the plurality of choices for at least one of the health care option selection factors comprises: means for presenting at least one outcome output to a third party.
 25. The system of claim 24 wherein the means for presenting at least one outcome output to a third party comprises: means for presenting at least one outcome output to a health care provider.
 26. The system of claim 24 wherein the means for presenting at least one outcome output to a third party comprises: means for presenting at least one outcome output to an insurance provider.
 27. The system of claim 24 wherein the means for presenting at least one outcome output to a third party comprises: means for presenting at least one anonymized outcome output.
 28. The system of claim 1 wherein the means for presenting at least one outcome output based on a selection of at least one of the plurality of choices for at least one of the health care option selection factors comprises: means for presenting at least one outcome output to an output device.
 29. The system of claim 1 wherein the means for presenting at least one outcome output based on a selection of at least one of the plurality of choices for at least one of the health care option selection factors comprises: means for selectively presenting at least one outcome output only to the potential patient.
 30. A computer-implemented method comprising: accepting, using a microprocessor, a user's preference relating to a plurality of health care option selection factors from at least one of a health care provider or a potential patient, where the health care option selection factors include symptom information related to an arthritis health-related condition, a personal preference for cost for an alternative medicine treatment for an arthritis condition and a personal preference for potential side effects of the alternative medicine treatment for the arthritis condition; presenting, using a microprocessor, a plurality of choices for at least one of the health care option selection factors where the personal preference for cost is presented as a first slider bar and the personal preference for potential side effects is presented as a second slider bar; and presenting, using a microprocessor, a recommended alternative medicine treatment for the arthritis health-related condition based on a selection of by the potential patient of the personal preference for cost and the personal preference for potential side effects.
 31. A system comprising: circuitry for accepting a user's preference relating to a plurality of health care option selection factors from at least one of a health care provider or a potential patient, where the health care option selection factors include symptom information related to an arthritis health-related condition, a personal preference for cost for an alternative medicine treatment for an arthritis condition and a personal preference for potential side effects of the alternative medicine treatment for the arthritis condition; circuitry for presenting a plurality of choices for at least one of the health care option selection factors where the personal preference for cost is presented as a first slider bar and the personal preference for potential side effects is presented as a second slider bar; and circuitry for presenting a recommended alternative medicine treatment for the arthritis health-related condition based on a selection of by the potential patient of the personal preference for cost and the personal preference for potential side effects.
 32. A computer program product comprising: a non-transitory computer-readable medium bearing one or more instructions for accepting a user's preference relating to a plurality of health care option selection factors from at least one of a health care provider or a potential patient, where the health care option selection factors include symptom information related to an arthritis health-related condition, a personal preference for cost for an alternative medicine treatment for an arthritis condition and a personal preference for potential side effects of the alternative medicine treatment for the arthritis condition; one or more instructions for presenting a plurality of choices for at least one of the health care option selection factors where the personal preference for cost is presented as a first slider bar and the personal preference for potential side effects is presented as a second slider bar; and one or more instructions for presenting a recommended alternative medicine treatment for the arthritis health-related condition based on a selection of by the potential patient of the personal preference for cost and the personal preference for potential side effects.
 33. The computer program product of claim 32, wherein the computer-readable medium includes a recordable medium.
 34. The computer program product of claim 32, wherein the computer-readable medium includes a communications medium.
 35. A system comprising: a computing device; and instructions that when executed on the computing device cause the computing device to accept a user's preference relating to a plurality of health care option selection factors from at least one of a health care provider or a potential patient, where the health care option selection factors include symptom information related to an arthritis health-related condition, a personal preference for cost for an alternative medicine treatment for an arthritis condition and a personal preference for potential side effects of the alternative medicine treatment for the arthritis condition; present a plurality of choices for at least one of the health care option selection factors where the personal preference for cost is presented as a first slider bar and the personal preference for potential side effects is presented as a second slider bar; and present a recommended alternative medicine treatment for the arthritis health-related condition based on a selection of by the potential patient of the personal preference for cost and the personal preference for potential side effects.
 36. The system of claim 35 wherein the computing device comprises: one or more of a personal digital assistant (PDA), a personal entertainment device, a mobile phone, a laptop computer, a tablet personal computer, a networked computer, a computing system comprised of a cluster of processors, a computing system comprised of a cluster of servers, a workstation computer, and/or a desktop computer.
 37. The system of claim 35 wherein the computing device is operable to accept user input relating to a plurality of health service option selection factors; present a plurality of choices for at least one of the health service option selection factors; and present at least one outcome output based on a selection of at least one of the plurality of choices for at least one of the health service option selection factors. 